Difference between revisions of "Resource:Reading List"
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== INFOCOM 2019 == | == 2024 == | ||
=== Proceedings links === | |||
* MobiCom 2023 (2024 in Oct.): https://sigmobile.org/mobicom/2023/accepted.html | |||
* INFOCOM 2024: https://infocom2024.ieee-infocom.org/program/accepted-paper-list-main-conference | |||
* NSDI 2024: https://www.usenix.org/conference/nsdi24/technical-sessions | |||
* SigComm 2024: https://conferences.sigcomm.org/sigcomm/2024/accepted-papers/ | |||
* SenSys 2023 (2024 in Nov.): http://sensys.acm.org/2023/program/ | |||
* MobiSys 2024: https://www.sigmobile.org/mobisys/2024/accepted-papers.html | |||
=== Interesting papers === | |||
* [MobiCom'24] [https://dl.acm.org/doi/pdf/10.1145/3636534.3649391 FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices] | |||
* [MobiCom'24] [https://dl.acm.org/doi/pdf/10.1145/3636534.3649363 Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices] | |||
* [ISCA'24] [https://arxiv.org/abs/2403.14353 DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics] | |||
* [INFOCOM'24] [https://ieeexplore.ieee.org/document/10621276 META-MCS: A Meta-knowledge Based Multiple Data Inference Framework] | |||
* [INFOCOM'24] [https://ieeexplore.ieee.org/document/10621156 Few-Shot Data Completion for New Tasks in Sparse Crowdsensing] | |||
* [NSDI'22] [https://www.usenix.org/conference/nsdi22/presentation/zhang-anlan YuZu: Neural-Enhanced Volumetric Video Streaming] | |||
* [MobiCom'23] [https://dl.acm.org/doi/10.1145/3570361.3592525 FarfetchFusion: Towards Fully Mobile Live 3D Telepresence Platform] | |||
* [MobiSys'24] [https://dl.acm.org/doi/10.1145/3643832.3661858 Theia: Gaze-driven and Perception-aware Volumetric Content Delivery for Mixed Reality Headsets] | |||
* [INFOCOM'24] [https://ieeexplore.ieee.org/document/10621148 VisFlow: Adaptive Content-Aware Video Analytics on Collaborative Cameras] | |||
* [INFOCOM'24] [https://ieeexplore.ieee.org/document/10621116 Crucio: End-to-End Coordinated Spatio-Temporal Redundancy Elimination for Fast Video Analytics] | |||
* [MobiSys'24] [https://dl.acm.org/doi/10.1145/3643832.3661861 ChirpTransformer: Versatile LoRa Encoding for Low-power Wide-area IoT] | |||
* [INFOCOM'24] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10621152 Edge-Assisted Camera Selection in Vehicular Networks] | |||
* [INFOCOM'23] [https://doi.org/10.1109/infocom53939.2023.10229101 Asynchronous Entanglement Provisioning and Routing for Distributed Quantum Computing] | |||
* [ToN'24] [https://doi.org/10.1109/tnet.2023.3285093 Q-DDCA: Decentralized Dynamic Congestion Avoid Routing in Large-Scale Quantum Networks] | |||
* [TNSM'23] [https://doi.org/10.1109/tnsm.2023.3275815 Swapping-Based Entanglement Routing Design for Congestion Mitigation in Quantum Networks] | |||
* [SIGCOMM'24] [https://dl.acm.org/doi/abs/10.1145/3651890.3672268 NetLLM: Adapting Large Language Models for Networking] | |||
* [NSDI'24] [https://www.usenix.org/conference/nsdi24/presentation/hu Characterization of Large Language Model Development in the Datacenter] | |||
* [MobiSys'24] [https://dl.acm.org/doi/abs/10.1145/3643832.3661855 Face Recognition In Harsh Conditions: An Acoustic Based Approach] | |||
* [MobiSys'24] [https://dl.acm.org/doi/abs/10.1145/3643832.3661894 ARISE: High-Capacity AR Offloading Inference Serving via Proactive Scheduling] | |||
* [NSDI'24] [https://www.usenix.org/conference/nsdi24/presentation/alquraan LoLKV: The Logless, Linearizable, RDMA-based Key-Value Storage System] | |||
* [INFOCOM'24] [https://arxiv.org/abs/2404.02166 An Online Joint Optimization Approach for QoE Maximization in UAV-Enabled Mobile Edge Computing] | |||
* [MobiSys'24] [https://dl.acm.org/doi/abs/10.1145/3643832.3661856 LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks] | |||
* [Mobicom'24] [https://dl.acm.org/doi/abs/10.1145/3636534.3649354 Venus: Enhancing QoE of Crowdsourced Live Video Streaming by Exploiting Multiflow Viewer Assistance] | |||
* [MobiCom'24] [https://dl.acm.org/doi/pdf/10.1145/3636534.3649359 Chorus: Coordinating Mobile Multipath Scheduling and Adaptive Video Streaming] | |||
* [SigComm'24] [https://dl.acm.org/doi/10.1145/3651890.3672249 Rethinking Machine Learning Collective Communication as a Multi-Commodity Flow Problem] | |||
* [SigComm'24] [https://cs.stanford.edu/~keithw/sigcomm2024/sigcomm24-final380-acmpaginated.pdf Crux: GPU-Efficient Communication Scheduling for Deep Learning Training] | |||
* [SigComm'24] [https://cs.stanford.edu/~keithw/sigcomm2024/sigcomm24-final418-acmpaginated.pdf Eagle: Toward Scalable and Near-Optimal Network-WideSketch Deployment in Network Measurement] | |||
* [SigComm'24] [https://dl.acm.org/doi/10.1145/3651890.3672224 Triton: A Flexible Hardware Offloading Architecture for Accelerating Apsara vSwitch in Alibaba Cloud] | |||
* [INFOCOM'24] [https://ieeexplore.ieee.org/abstract/document/10621116 Crucio: End-to-End Coordinated Spatio-Temporal Redundancy Elimination for Fast Video Analytics] | |||
* [INFOCOM'24] [https://ieeexplore.ieee.org/document/10621134/ AIChronoLens: Advancing Explainability for Time Series AI Forecasting in Mobile Networks] | |||
* [MobiSys'24] [https://dl.acm.org/doi/10.1145/3643832.3661861 ChirpTransformer: Versatile LoRa Encoding for Low-power Wide-area IoT] | |||
* [SigComm'24] [https://dl.acm.org/doi/abs/10.1145/3651890.3672213 In-Network Address Caching for Virtual Networks] | |||
== 2023 == | |||
* [INFOCOM] https://infocom2023.ieee-infocom.org/program/accepted-paper-list-main-conference | |||
* [MobiCom] https://sigmobile.org/mobicom/2023/accepted.html | |||
* [SigComm] https://conferences.sigcomm.org/sigcomm/2023/list-accepted.html | |||
* [NSDI] https://www.usenix.org/conference/nsdi23/fall-accepted-papers | |||
* [SEC] http://acm-ieee-sec.org/2022/program.php | |||
* [MASS] https://cis.temple.edu/ieeemass2023/acceptedpapers.html | |||
== 2022 == | |||
=== INFOCOM 2022 === | |||
Program site:https://infocom2022.ieee-infocom.org/program/accepted-paper-list-main-conference | |||
* [Edge] An Efficient Two-Layer Task Offloading Scheme for MEC Networks with Multiple Services Providers | |||
* [Edge] DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation | |||
* [Edge] Two Time-Scale Joint Service Caching and Task Offloading for UAV-assisted Mobile Edge Computing | |||
* [Edge] Towards Online Privacy-preserving Computation Offloading in Mobile Edge Computing | |||
* [Delivery] Joint Order Dispatch and Charging for Electric Self-Driving Taxi Systems | |||
* [Recharge] MDoC: Compromising WRSNs through Denial of Charge by Mobile Charger | |||
* [Recharge] Energy Saving in Heterogeneous Wireless Rechargeable Sensor Networks | |||
* [Network] Deadline-aware Multipath Transmission for Streaming Blocks | |||
* [IoT] FlexPatch: Fast and Accurate Object Detection for On-device High-Resolution Live Video Analytics | |||
* [Edge] DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation | |||
* [Edge] Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration | |||
* [Edge] Online File Caching in Latency-Sensitive Systems with Delayed Hits and Bypassing | |||
* [Edge] Distributed Cooperative Caching in Unreliable Edge Environments | |||
* [Edge] Enabling QoE Support for Interactive Applications over Mobile Edge with High User Mobility | |||
* [IoT] Encoding-based Range Detection in Commodity RFID Systems | |||
* [Edge] User Experience Oriented Task Computation for UAV-Assisted MEC System | |||
* [Edge] DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation | |||
* [Crowdsensing] Worker Selection Towards Data Completion for Online Sparse Crowdsensing | |||
* [Crowdsourcing] Learning for Crowdsourcing: Online Dispatch for Video Analytics with Guarantee | |||
* [IoT] PACC: Proactive and Accurate Congestion Feedback for RDMA Congestion Control | |||
* [Edge] Online Scheduling of Transmission and Processing for AoI Minimization with Edge Computing | |||
* [UAV] A Cloud-Terminal Collaborative System for Crowd Counting and Localization Using Multi-UAVs | |||
* [UAV] EFTA: An Energy-efficient, Fault-Tolerant, and Area-optimized UAV Placement Scheme for Search Operations | |||
* [Edge] EdgeMatrix: A Resources Redefined Edge-Cloud System for Prioritized Services | |||
* [IoT] IoTMosaic: Inferring User Activities from IoT Network Traffic in Smart Homes | |||
=== Sigcomm 2022 === | |||
Program site:http://conferences.sigcomm.org/sigcomm/2022/program.html | |||
* [IoT] Mobile access bandwidth in practice: measurement, analysis, and implications | |||
* [IoT] Understanding 5G Performance for Real-world Services: a Content Provider’s Perspective | |||
* [IoT] NeuroScaler: neural video enhancement at scale | |||
* [Cloud] From Luna to Solar: The Evolutions of the Compute-to-Storage Networks in Alibaba Cloud | |||
=== ICNP 2022 === | |||
Program site:https://icnp22.cs.ucr.edu/submission.html | |||
* [LoRa] X-MAC: Achieving High Scalability via Imperfect-Orthogonality Aware Scheduling in LPWAN | |||
* [LoRa] Is LoRaWAN Really Wide? Fine-grained LoRa Link-level Measurement in An Urban Environment | |||
=== IPSN 2022 === | |||
Program site:https://ipsn.acm.org/2022/program.html?v=1 | |||
* [IoT] Furtively Connecting IoT Devices with Acoustic Noise | |||
* [IoT] Cappella: Establishing Multi-User Augmented Reality Sessions Using Inertial Estimates and Peer-to-Peer Ranging | |||
=== NSDI 2022 === | |||
Program site:https://www.usenix.org/conference/nsdi22/technical-sessions | |||
* [IoT] Exploiting Digital Micro-Mirror Devices for Ambient Light Communication | |||
* [LoRa] Sense Me on the Ride: Accurate Mobile Sensing over a LoRa Backscatter Channel | |||
* [LoRa] Saiyan: Design and Implementation of a Low-power Demodulator for LoRa Backscatter Systems | |||
* [IoT] Whisper: IoT in the TV White Space Spectrum | |||
* [Edge] Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers | |||
* [Delivery] Packet Order Matters! Improving Application Performance by Deliberately Delaying Packets | |||
=== Mobisys 2022 === | |||
Program site:https://www.sigmobile.org/mobisys/2022/accepted-papers.html | |||
* [IoT] Bringing WebAssembly to Resource-constrained IoT Devices for Seamless Device-Cloud Integration | |||
* [IoT] AutoCast: Scalable Infrastructure-less Cooperative Perception for Distributed Collaborative Driving | |||
* [Edge] Plantar Biometrics for Edge Computing | |||
=== TMC 2022 === | |||
* [IoT] Compressed Sensing Based Low-Power Multi-View Video Coding and Transmission in Wireless Multi-Path Multi-Hop Networks | |||
* [IoT] ECHO: Efficient Zero-Control-Packet Broadcasting for Mobile Ad Hoc Networks | |||
* [IoT] Sensory Data Aggregation in Internet of Things: Period-Driven Pipeline Scheduling Approach | |||
* [IoT] HearSmoking: Smoking Detection in Driving Environment via Acoustic Sensing on Smartphones | |||
* [IoT] Trine: Cloud-Edge-Device Cooperated Real-time Video Analysis for Household Applications | |||
* [IoT] WAVE: Edge-Device Cooperated Real-time Object Detection for Open-air Applications | |||
* [Edge] Online MEC Offloading for V2V Networks | |||
* [Edge] Reverse Auction-based Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing | |||
=== TPDS 2022 === | |||
* [Edge] Joint Coverage-Reliability for Budgeted Edge Application Deployment in Mobile Edge Computing Environment | |||
* [Network] Hydra: A Decentralized File System for Persistent Memory and RDMA Networks | |||
=== IoTJ 2022 === | |||
* [Crowdsensing] Nondeterministic Mobility based Incentive Mechanism for Efficient Data Collection in Crowdsensing | |||
* [Edge] Joint Shareability and Interference for Multiple Edge Application Deployment in Mobile-Edge Computing Environment | |||
== 2021 == | |||
=== Sensys 2021 === | |||
Program site:http://sensys.acm.org/2021/program/ | |||
* [Wireless] STeC: Exploiting Spatial and Temporal Correlation for Event-based Communication in WSNs | |||
* [Wireless] SpiderWeb: Enabling Through-Screen Visible Light Communication | |||
* [IoT] CurveLight: An Accurate and Practical Light Positioning System | |||
=== INFOCOM 2021 === | |||
Program site:https://infocom2021.ieee-infocom.org/accepted-paper-list-main-conference | |||
* [Wireless] WiForce: Wireless Sensing and Localization of Contact Forces on a Space Continuum | |||
* [LoRa] Radio Frequency Fingerprint Identification for LoRa Using Deep Learning | |||
* [LoRa] Pyramid: Real-Time LoRa Collision Decoding with Peak Tracking | |||
* [Edge] FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism | |||
* [UAV] Enhanced Flooding-Based Routing Protocol for Swarm UAV Networks: Random Network Coding Meets Clustering | |||
* [Edge] EdgeSharing: Edge Assisted Real-time Localization and Object Sharing in Urban Streets | |||
* [UAV] Towards Fine-Grained Spatio-Temporal Coverage for Vehicular Urban Sensing Systems | |||
* [UAV] Heuristic Algorithms for Co-scheduling of Edge Analytics and Routes for UAV Fleet Missions | |||
* [UAV] Minimizing the Number of Deployed UAVs for Delay-bounded Data Collection of IoT Devices | |||
* [Edge] Distributed Threshold-based Offloading for Large-Scale Mobile Cloud Computing | |||
* [Edge] Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System | |||
* [Edge] Layer Aware Microservice Placement and Request Scheduling at the Edge | |||
* [Service Cache] Joint Cache Size Scaling and Replacement Adaptation for Small Content Providers | |||
* [Service Cache] Robust Service Mapping in Multi-Tenant Clouds | |||
* [Service Cache] Reliability-aware Dynamic Service Chain Scheduling in 5G Networks based on Reinforcement Learning | |||
* [Service Cache] GRADES: Gradient Descent for Similarity Caching | |||
=== NSDI 2021 === | |||
Program site:https://www.usenix.org/conference/nsdi21/technical-sessions | |||
* [LoRa] Simplifying Backscatter Deployment: Full-Duplex LoRa Backscatter | |||
* [Wireless] WiForce: Wireless Sensing and Localization of Contact Forces on a Space Continuum | |||
* [Edge] Staying Alive: Connection Path Reselection at the Edge | |||
* [Edge] When to Hedge in Interactive Services | |||
* [Traffic Engineering] Cost-effective Cloud Edge Traffic Engineering with Cascara | |||
* [System] Ownership: A Distributed Futures System for Fine-Grained Tasks | |||
* [Service Chaining] Don't Yank My Chain: Auditable NF Service Chaining | |||
* [IoT] AIRCODE: Hidden Screen-Camera Communication on an Invisible and Inaudible Dual Channel | |||
* [Wireless] From Conception to Retirement: a Lifetime Story of a 3-Year-Old Wireless Beacon System in the Wild | |||
* [System] Programming Network Stack for Middleboxes with Rubik | |||
* [Routing] Staying Alive: Connection Path Reselection at the Edge | |||
* [System] EPaxos Revisited | |||
* [System] Elastic Resource Sharing for Distributed Deep Learning | |||
* [Sketch] Toward Nearly-Zero-Error Sketching via Compressive Sensing | |||
* [Coding] CodedBulk: Inter-Datacenter Bulk Transfers using Network Coding | |||
* [Network] ATP: In-network Aggregation for Multi-tenant Learning | |||
* [Distributed ML] Scaling Distributed Machine Learning with In-Network Aggregation | |||
* [Distributed Deep Learning] Elastic Resource Sharing for Distributed Deep Learning | |||
* [Wireless] One Protocol to Rule Them All: Wireless Network-on-Chip using Deep Reinforcement Learning | |||
=== SIGCOMM 2021 === | |||
Program site:https://conferences.sigcomm.org/sigcomm/2021/program.html | |||
* [Wireless] L2D2: low latency distributed downlink for LEO satellites | |||
* [Wireless] LAVA: Fine-grained 3D Indoor Wireless Coverage for Small IoT Devices | |||
* [SDN] Revisiting the Open vSwitch Ten Years Later | |||
* [Mechine Learning] Network Planning with Deep Reinforcement Learning | |||
* [LoRa] Concurrent Interference Cancellation: Decoding Multiple Packet Collisions in LoRa | |||
=== MobiCom 2021 === | |||
Program site:https://www.sigmobile.org/mobicom/2021/accepted.html | |||
* [Edge] Elf: Accelerate High-resolution Mobile Deep Vision with Content-aware Parallel Offloading | |||
* [IoT] Large-Scale Vehicle Trajectory Reconstruction with Camera Sensing Network | |||
* [IoT] HeadFi: Bringing Intelligence to All Headphones | |||
* [Wireless] A Community-Driven Approach to Democratize Access to Satellite Ground Stations | |||
=== MobiSys 2021 === | |||
Program site:https://www.sigmobile.org/mobisys/2021/program.html | |||
* [Wireless] Counting a stationary crowd using off-the-shelf wifi | |||
* [Wireless] Accurate Ubiquitous Localization with Off-the-Shelf IEEE 802.11ac Devices | |||
=== IPSN 2021 === | |||
Program site:https://ipsn.acm.org/2021/program.html?v=22 | |||
* [LoRa] OwLL: Accurate LoRa Localization using the TV Whitespaces | |||
* [LoRa] A Novel Model-Based Security Scheme for LoRa Key Generation | |||
== 2020 == | |||
=== ICNP 2020 === | |||
Program site:https://icnp20.cs.ucr.edu/program.html | |||
* [LoRa] AdapLoRa: Resource Adaptation for Maximizing Network Lifetime in LoRa Networks | |||
* [LoRa] CloakLoRa: A Covert Channel over LoRa PHY | |||
* [LoRa] Runtime Control of LoRa Spreading Factor for Campus Shuttle Monitoring | |||
* [LoRa] Long-Lived LoRa: Prolonging the Lifetime of a LoRa Network | |||
=== IEEE Journals === | |||
* [LoRa] [TII 2021] Extreme RSS Based Indoor Localization for LoRaWAN With Boundary Autocorrelation | |||
* [System] [TMC 2021] Predictability and Prediction of Human Mobility Based on Application-Collected Location Data | |||
* [Edge] [TMC 2021] Profit-Oriented Task Allocation for Mobile Crowdsensing With Worker Dynamics: Cooperative Offline Solution and Predictive Online Solution | |||
* [UAV] [TMC 2021] Multi-Area Throughput and Energy Optimization of UAV-Aided Cellular Networks Powered by Solar Panels and Grid | |||
* [UAV] [TMC 2021] Economic Analysis of Unmanned Aerial Vehicle (UAV) Provided Mobile Services | |||
* [Edge] [TMC 2021] Edge-Enabled V2X Service Placement for Intelligent Transportation Systems | |||
* [IoT] [TMC 2021] Real-Time Detection for Drowsy Driving via Acoustic Sensing on Smartphones | |||
* [Edge] [TWC 2021] D2D-Assisted Multi-User Cooperative Partial Offloading, Transmission Scheduling and Computation Allocating for MEC | |||
* [Edge] [IoTJ 2021] D2D-Enabled Mobile-Edge Computation Offloading for Multiuser IoT Network | |||
* [Edge] [TVT 2020] Latency Minimization for D2D-Enabled Partial Computation Offloading in Mobile Edge Computing | |||
* [Edge] [TWC 2019] Mobile-Traffic-Aware Offloading for Energy- and Spectral-Efficient Large-Scale D2D-Enabled Cellular Networks | |||
* [Edge] [TWC 2019] D2D Communications Meet Mobile Edge Computing for Enhanced Computation Capacity in Cellular Networks | |||
* [Edge] [JSAC 2017] On Consideration of Content Preference and Sharing Willingness in D2D Assisted Offloading | |||
* [Edge] [JSAC 2016] D2D Fogging: An Energy-efficient and Incentive-aware Task Offloading Framework via Network-assisted D2D Collaboration | |||
=== INFOCOM 2020 === | |||
Program site:https://infocom2020.ieee-infocom.org/accepted-paper-list-main-conference | |||
* [Edge] (How Much) Does a Private WAN Improve Cloud Performance? | |||
* [Wireless] A Zeroth-Order ADMM Algorithm for Stochastic Optimization over Distributed Processing Networks | |||
* [Edge] Towards Latency Optimization in Hybrid Service Function Chain Composition and Embedding | |||
* [Edge] A Fast Hybrid Data Sharing Framework for Hierarchical Mobile Edge Computing | |||
* [Charging Network] An Effective Multi-node Charging Scheme for Wireless Rechargeable Sensor Networks | |||
* [Edge] Camel: Smart, Adaptive Energy Optimization for Mobile Web Interactions | |||
* [Edge] Coded Edge Computing | |||
* [Edge] Collaborate or Separate? Distributed Service Caching in Mobile Edge Clouds | |||
* [LoRa] CoLoRa: Enable Muti-Packet Reception in LoRa | |||
* [Edge] Computation Scheduling for Wireless Powered Mobile Edge Computing Networks | |||
* [Edge] Cooperative Service Caching and Workload Scheduling in Mobile Edge Computing | |||
* [Edge] COSE: Configuring Serverless Functions using Statistical Learning | |||
* [Wireless] De-anonymization of Social Networks: the Power of Collectiveness | |||
* [Edge] Delay-Optimal Distributed Edge Computing in Wireless Edge Networks | |||
* [Edge] Distributed Collaborative 3D-Deployment of UAV Base Stations for On-Demand Coverage | |||
* [LoRa] DyLoRa: Towards Energy Efficient Dynamic LoRa Transmission Control | |||
* [Edge] Elastic Network Virtualization | |||
* [Wireless] Global Cooperation for Heterogeneous Networks | |||
* [Wireless] Hop-by-Hop Multipath Routing: Choosing the Right Nexthop Set | |||
* [Edge] HotDedup: Managing Hot Data Storage at Network Edge through Optimal Distributed Deduplication | |||
* [Wireless] How to Distribute Computation in Networks | |||
* [Path Plan] Informative Path Planning for Mobile Sensing with Reinforcement Learning | |||
* [5G Wireless] Is Deadline Oblivious Scheduling Efficient for controlling real-time traffic in cellular downlink systems? | |||
* [Edge] Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing | |||
* [Edge] Latency-aware VNF Chain Deployment with Efficient Resource Reuse at Network Edge | |||
* [LoRa] LiteNap: Downclocking LoRa Reception | |||
* [Edge] Network-Aware Optimization of Distributed Learning for Fog Computing | |||
* [Edge] Network Slicing in Heterogeneous Software-defined RANs | |||
* [Edge] Offloading Dependent Tasks in Mobile Edge Computing with Service Caching | |||
* [Code] On the Optimal Repair-Scaling Trade-off in Locally Repairable Codes | |||
* [Lora] Online Concurrent Transmissions at LoRa Gateway | |||
* [Edge] Online Placement of Virtual Machines with Prior Data | |||
* [IOT] OST: On-Demand TSCH Scheduling with Traffic-awareness | |||
* [Edge] PAM & PAL: Policy-Aware Virtual Machine Migration and Placement in Dynamic Cloud Data Centers | |||
* [Charging Network] Placing Wireless Chargers with Limited Mobility | |||
* [Charging Network] An Effective Multi-node Charging Scheme for Wireless Rechargeable Sensor Networks | |||
* [Charging Network] Maximizing Charging Utility with Obstacles through Fresnel Diffraction Model | |||
* [Edge] Predictive Scheduling for Virtual Reality | |||
* [Edge] Reducing the Service Function Chain Backup Cost over the Edge and Cloud by a Self-adapting Scheme | |||
* [Localization] Selection of Sensors for Efficient Transmitter Localization | |||
* [Video Streaming] Streaming 360◦ Videos using Super-resolution | |||
* [Multi-Server Systems] Tiny Tasks - A Remedy for Synchronization Constraints in Multi-Server Systems | |||
* [Wireless] AZTEC: Anticipatory Capacity Allocation for Zero-Touch Network Slicing | |||
* [Wireless] OKpi: All-KPI Network Slicing Through Efficient Resource Allocation | |||
* [Crowd Sensing] Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning | |||
* [UAV] VFC-Based Cooperative UAV Computation Task Offloading for Post-disaster Rescue | |||
* [UAV] ImgSensingNet: UAV Vision Guided Aerial-Ground Air Quality Sensing System | |||
* [Wireless] Dynamic Mobility-Aware Interference Avoidance for Aerial Base Stations in Cognitive Radio Networks | |||
* [Autonomous Driving] Sensing and Communication Integrated System for Autonomous Driving Vehicles | |||
* [Wireless] Enhancing Cellular Performance via Vehicular-based Opportunistic Relaying and Load Balancing | |||
* [Edge] Fog-based Data Offloading in Urban IoT Scenarios | |||
* [Edge] An Integrated Top-down and Bottom-up Task Allocation Approach in Social Sensing based Edge Computing Systems | |||
* [Wireless] Data-Intensive Routing in Delay Tolerant Networks | |||
* [Edge] A Scheduling Strategy for Reduced Power Consumption in Mobile Edge Computing | |||
* [AoI, Wireless] AoI and Throughput Tradeoffs in Routing-aware Multi-hop Wireless Networks | |||
* [AoI, Wireless] AoI Scheduling with Maximum Thresholds | |||
* [AoI, Wireless] Minimizing Age of Information in Multi-channel Time-sensitive Information Update Systems | |||
=== MobiCom 2020=== | |||
Program site:https://sigmobile.org/mobicom/2020/program.php | |||
* [Edge] EagleEye: Wearable Camera-based Person Identification in Crowded Urban Spaces | |||
* [RFID] Renovating Road Signs for Infrastructure-to-Vehicle Networking: A Visible Light Backscatter Communication and Networking Approach | |||
* [Localization] Voice Localization Using Nearby Wall Reflections | |||
* [Android] Experience: Aging or Glitching? Why Does Android Stop Responding and What Can We Do About It? | |||
* [Wireless] WiChronos : Energy-Efficient Modulation for Long-Range, Large-Scale Wireless Networks | |||
* [Video Streaming] NEMO: Enabling Neural-enhanced Video Streaming on Commodity Mobile Devices | |||
* [Federated Learning] Billion-Scale Federated Learning on Mobile Clients: A Submodel Design with Tunable Privacy | |||
* [Wireless] SociTrack: Infrastructure-Free Interaction Tracking through Mobile Sensor Networks | |||
* [LPWAN] Nephalai: Towards LPWAN C-RAN with Physical Layer Compression | |||
* [Edge] SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud | |||
* [Wireless] Microscope: Mobile Service Traffic Decomposition for Network Slicing as a Service | |||
* [Wireless] LMAC: Efficient Carrier-Sense Multiple Access for LoRa | |||
* [Wireless] Joltik: Enabling Energy-Efficient "Future-Proof" Analytics on Low-Power Wide-Area Networks | |||
* [Low-Power Network] Insect-scale Aerial Deployment of Wireless Sensors | |||
* [NB-IoT] Understanding Power Consumption of NB-IoT in the Wild: Tool and Large-scale Measurement | |||
* [AR] Ear-AR: Indoor Acoustic Augmented Reality on Earphones | |||
* [Wireless] Integrating Device, Cloud, and Client Development for IoT Applications with OneLink. | |||
* [Cloud] Integrating Device, Cloud, and Client Development for IoT Applications with OneLink. | |||
=== SigComm 2020=== | |||
Program site:https://conferences.sigcomm.org/sigcomm/2020/program.html | |||
* [Wireless] Concurrent entanglement routing for quantum networks: model and designs | |||
* [Wireless] Routing on Multiple Optimality Criteria | |||
* [Video Streaming] Server-driven video streaming for deep learning inference | |||
* [Video] Reducto: On camera filtering for resource-efficient real-time video analytics | |||
* [Edge] Fault-tolerant service function chaining | |||
* [Edge] Contention aware performance prediction for virtualized network functions | |||
* [Wireless] TACK: Improving wireless transport performance by taming acknowledgments | |||
* [Wireless, 5G] Beyond 5G reliable extreme mobility management | |||
* [Wireless, 5G] Understanding operational 5G: A first measurement study on its coverage, performance and energy consumption | |||
* [Wireless] Interpreting deep-learning based networking systems | |||
===NSDI 2020=== | |||
Program site:https://www.usenix.org/conference/nsdi20/accepted-papers | |||
* [Wireless] AccelTCP: Accelerating Network Applications with Stateful TCP Offloading | |||
* [Wireless] Contra: A Programmable System for Performance-aware Routing | |||
* [Wireless] Meaningful Availability | |||
* [Edge] Gandalf: An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure | |||
* [IOT] TinySDR: Low-Power SDR Platform for Over-the-Air Programmable IoT Testbeds | |||
* [Edge] Firecracker: Lightweight Virtualization for Serverless Applications | |||
* [Database] Millions of Tiny Databases | |||
* [Wireless] Rex: Preventing Bugs and Misconfiguration in Large Services Using Correlated Change Analysis | |||
* [Wireless] Check before You Change: Preventing Correlated Failures in Service Updates | |||
* [Wireless] Comb Decoding towards Collision-Free WiFi | |||
* [Wireless] AmphiLight: Direct Air-Water Communication with Laser Light | |||
* [Wireless] Comb Decoding towards Collision-Free WiFi | |||
* [Edge] Firecracker: Lightweight Virtualization for Serverless Applications | |||
* [Automobile] CarMap: Fast 3D Feature Map Updates for Automobiles | |||
===IPSN 2020=== | |||
Program site:https://ipsn.acm.org/2020/program.html | |||
* [IOT] Distributed Slot Scheduling for QoS Guarantee over TSCH-based IoT Networks via Adaptive Parameterization. | |||
* [Lora] SateLoc: A Virtual Fingerprinting Approach to Outdoor LoRa Localization using Satellite Images | |||
* [IOT] Robust Dynamic Hand Gesture Interaction using LTE Terminals | |||
* [Crowd Source] Road Grade Estimation Using Crowd-sourced Smartphone Data | |||
* [IOT] Understanding Deep Model Compression for IoT Devices | |||
* [Wireless] Low-Power Wide-Area Networks: Connect, Sense and Secure | |||
* [Edge] Activity Classification at the Edge | |||
* [LPWAN] Key Generation Scheme for LPWAN IoT Devices | |||
* [NFV] A Heterogeneous Parallel Packet Processing Architecture for NFV Acceleration | |||
* [Edge] Placement and Allocation of Virtual Network Functions: Multi-dimensional Case | |||
* [LPWAN] Quick (and Dirty) Aggregate Queries on Low-Power WANs | |||
== 2019 == | |||
===ICNP 2019=== | |||
Program site:https://icnp20.cs.ucr.edu/program.html | |||
* [Wireless] Achieving Universal Low-Power Wide-Area Networks on Existing Wireless Devices | |||
* [Wireless] BeaconRider: Opportunistic Sharing of Beacon Air-Time in Densely Deployed WLANs | |||
* [Wireless] BDAC: A Behavior-aware Dynamic Adaptive Configuration on DHCP in Wireless LANs | |||
* [Wireless] Exploiting Rateless Codes and Cross-Layer Optimization for Low-Power Wide-Area Networks | |||
* [Lora] LoRaBee: Cross-Technology Communication from LoRa to ZigBee via Payload Encoding | |||
===INFOCOM 2019=== | |||
Program site:https://infocom2019.ieee-infocom.org/main-technical-program | Program site:https://infocom2019.ieee-infocom.org/main-technical-program | ||
Line 46: | Line 422: | ||
* [Edge] Nomad: An Efficient Consensus Approach for Latency-Sensitive Edge-Cloud Applications | * [Edge] Nomad: An Efficient Consensus Approach for Latency-Sensitive Edge-Cloud Applications | ||
* [Edge] A Distributed Orchestration Algorithm for Edge Computing Resources with Guarantees | * [Edge] A Distributed Orchestration Algorithm for Edge Computing Resources with Guarantees | ||
* [Charging Network] Collaborated Tasks-driven Mobile Charging and Scheduling A Near Optimal Result | |||
* [Charging Network] Minimizing Charging Delay for Directional Charging in Wireless Rechargeable Sensor Networks | |||
* [Charging Network] Charging Oriented Sensor Placement and Flexible Scheduling in Rechargeable WSNs | |||
== MobiCom 2019 == | ===MobiCom 2019=== | ||
Program site: https://sigmobile.org/mobicom/2019/accepted.php | Program site: https://sigmobile.org/mobicom/2019/accepted.php | ||
Line 65: | Line 445: | ||
* [Mobile] Optimizing Energy Efficiency of Browsers in Energy-Aware Scheduling–enabled Mobile Devices | * [Mobile] Optimizing Energy Efficiency of Browsers in Energy-Aware Scheduling–enabled Mobile Devices | ||
== SigComm 2019 == | ===SigComm 2019=== | ||
Program site: https://conferences.sigcomm.org/sigcomm/2019/program.html | Program site: https://conferences.sigcomm.org/sigcomm/2019/program.html | ||
* [Networking] Gentle Flow Control: Avoiding Deadlock in Lossless Networks | * [Networking] Gentle Flow Control: Avoiding Deadlock in Lossless Networks | ||
Line 75: | Line 455: | ||
* [Networking] On Optimal Neighbor Discovery | * [Networking] On Optimal Neighbor Discovery | ||
== NSDI 2019 == | ===NSDI 2019=== | ||
Program site: https://www.usenix.org/conference/nsdi19/technical-sessions | Program site: https://www.usenix.org/conference/nsdi19/technical-sessions | ||
* [Networking] NetBouncer: Active Device and Link Failure Localization in Data Center Networks | * [Networking] NetBouncer: Active Device and Link Failure Localization in Data Center Networks | ||
Line 84: | Line 464: | ||
* [Networking] Eiffel: Efficient and Flexible Software Packet Scheduling | * [Networking] Eiffel: Efficient and Flexible Software Packet Scheduling | ||
== IPSN 2019 | ===IPSN 2019=== | ||
Program site: http://ipsn.acm.org/2019/program.html | |||
* [LoRa] LongShoT: Long-Range Synchronization of Time | * [LoRa] LongShoT: Long-Range Synchronization of Time | ||
* [Edge, system] Event-triggered Natural Hazard Monitoring with Convolutional Neural Networks on the Edge | * [Edge, system] Event-triggered Natural Hazard Monitoring with Convolutional Neural Networks on the Edge | ||
Line 94: | Line 475: | ||
* [Wireless] Cross-Sender Bit-Mixing Coding | * [Wireless] Cross-Sender Bit-Mixing Coding | ||
== MobiHoc 2019 | ===MobiHoc 2019=== | ||
Program site: https://www.sigmobile.org/mobihoc/2019/accepted-papers.html | |||
* [Robot, Nav] Robot Navigation in Radio Beam Space: Leveraging Robotic Intelligence for Seamless mmWave Network Coverage | * [Robot, Nav] Robot Navigation in Radio Beam Space: Leveraging Robotic Intelligence for Seamless mmWave Network Coverage | ||
* [Measurement] How Bad is Selfish Caching? | * [Measurement] How Bad is Selfish Caching? | ||
== ICDCS 2019 | === ICDCS 2019 === | ||
Program site: https://conferences.computer.org/icdcs/2019/#!/toc/0 | |||
* [Networking] SpeedyBox: Low-Latency NFV Service Chains with Cross-NF Runtime Consolidation | * [Networking] SpeedyBox: Low-Latency NFV Service Chains with Cross-NF Runtime Consolidation | ||
* [Dist. learning] Falcon: Towards Computation-Parallel Deep Learning in Heterogeneous Parameter Server196 | * [Dist. learning] Falcon: Towards Computation-Parallel Deep Learning in Heterogeneous Parameter Server196 | ||
Line 116: | Line 499: | ||
* [DRL, VNF, Edge] Deep Reinforcement Learning Based VNF Management in Geo-distributed Edge Computing | * [DRL, VNF, Edge] Deep Reinforcement Learning Based VNF Management in Geo-distributed Edge Computing | ||
* [Blockchain, Edge] Hierarchical Edge-Cloud Computing for Mobile Blockchain Mining Game | * [Blockchain, Edge] Hierarchical Edge-Cloud Computing for Mobile Blockchain Mining Game | ||
== SenSys 2018 | == 2018 == | ||
=== SenSys 2018 === | |||
Program site: http://sensys.acm.org/2018/program/ | |||
* [Loc] 3D Localization for Sub-Centimeter Sized Devices | * [Loc] 3D Localization for Sub-Centimeter Sized Devices | ||
* [Loc] Accurate 3D Localization for 60 GHz Networks | * [Loc] Accurate 3D Localization for 60 GHz Networks | ||
Line 124: | Line 510: | ||
* [VM for IoT] CapeVM: A Safe and Fast Virtual Machine for Resource-Constrained Internet-of-Things Devices | * [VM for IoT] CapeVM: A Safe and Fast Virtual Machine for Resource-Constrained Internet-of-Things Devices | ||
* [IoT] Passive ZigBee: Enabling ZigBee Communication in IoT networks with 1000x Less Power Consumption | * [IoT] Passive ZigBee: Enabling ZigBee Communication in IoT networks with 1000x Less Power Consumption | ||
== CoNext 2018 | === CoNext 2018 === | ||
Program site: https://conferences2.sigcomm.org/co-next/2018/#!/program | |||
* [Measurement] Five Years at the Edge: Watching Internet from the ISP Network | * [Measurement] Five Years at the Edge: Watching Internet from the ISP Network | ||
* [Sensing] Boosting fine-grained activity sensing by embracing wireless multipath effects | * [Sensing] Boosting fine-grained activity sensing by embracing wireless multipath effects | ||
* [Mobile, web] Proteus: Network-aware Web Browsing on Heterogeneous Mobile Systems | * [Mobile, web] Proteus: Network-aware Web Browsing on Heterogeneous Mobile Systems | ||
== ICNP 2018 | === ICNP 2018 === | ||
Program site: http://icnp18.cs.ucr.edu/program.html | |||
* [Edge] Dynamic Heterogeneity-Aware Coded Cooperative Computation at the Edge | * [Edge] Dynamic Heterogeneity-Aware Coded Cooperative Computation at the Edge | ||
* [Edge, AR] DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing | * [Edge, AR] DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing |
Latest revision as of 10:00, 6 September 2024
2024
Proceedings links
- MobiCom 2023 (2024 in Oct.): https://sigmobile.org/mobicom/2023/accepted.html
- INFOCOM 2024: https://infocom2024.ieee-infocom.org/program/accepted-paper-list-main-conference
- NSDI 2024: https://www.usenix.org/conference/nsdi24/technical-sessions
- SigComm 2024: https://conferences.sigcomm.org/sigcomm/2024/accepted-papers/
- SenSys 2023 (2024 in Nov.): http://sensys.acm.org/2023/program/
- MobiSys 2024: https://www.sigmobile.org/mobisys/2024/accepted-papers.html
Interesting papers
- [MobiCom'24] FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices
- [MobiCom'24] Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices
- [ISCA'24] DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics
- [INFOCOM'24] META-MCS: A Meta-knowledge Based Multiple Data Inference Framework
- [INFOCOM'24] Few-Shot Data Completion for New Tasks in Sparse Crowdsensing
- [NSDI'22] YuZu: Neural-Enhanced Volumetric Video Streaming
- [MobiCom'23] FarfetchFusion: Towards Fully Mobile Live 3D Telepresence Platform
- [MobiSys'24] Theia: Gaze-driven and Perception-aware Volumetric Content Delivery for Mixed Reality Headsets
- [INFOCOM'24] VisFlow: Adaptive Content-Aware Video Analytics on Collaborative Cameras
- [INFOCOM'24] Crucio: End-to-End Coordinated Spatio-Temporal Redundancy Elimination for Fast Video Analytics
- [MobiSys'24] ChirpTransformer: Versatile LoRa Encoding for Low-power Wide-area IoT
- [INFOCOM'24] Edge-Assisted Camera Selection in Vehicular Networks
- [INFOCOM'23] Asynchronous Entanglement Provisioning and Routing for Distributed Quantum Computing
- [ToN'24] Q-DDCA: Decentralized Dynamic Congestion Avoid Routing in Large-Scale Quantum Networks
- [TNSM'23] Swapping-Based Entanglement Routing Design for Congestion Mitigation in Quantum Networks
- [SIGCOMM'24] NetLLM: Adapting Large Language Models for Networking
- [NSDI'24] Characterization of Large Language Model Development in the Datacenter
- [MobiSys'24] Face Recognition In Harsh Conditions: An Acoustic Based Approach
- [MobiSys'24] ARISE: High-Capacity AR Offloading Inference Serving via Proactive Scheduling
- [NSDI'24] LoLKV: The Logless, Linearizable, RDMA-based Key-Value Storage System
- [INFOCOM'24] An Online Joint Optimization Approach for QoE Maximization in UAV-Enabled Mobile Edge Computing
- [MobiSys'24] LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks
- [Mobicom'24] Venus: Enhancing QoE of Crowdsourced Live Video Streaming by Exploiting Multiflow Viewer Assistance
- [MobiCom'24] Chorus: Coordinating Mobile Multipath Scheduling and Adaptive Video Streaming
- [SigComm'24] Rethinking Machine Learning Collective Communication as a Multi-Commodity Flow Problem
- [SigComm'24] Crux: GPU-Efficient Communication Scheduling for Deep Learning Training
- [SigComm'24] Eagle: Toward Scalable and Near-Optimal Network-WideSketch Deployment in Network Measurement
- [SigComm'24] Triton: A Flexible Hardware Offloading Architecture for Accelerating Apsara vSwitch in Alibaba Cloud
- [INFOCOM'24] Crucio: End-to-End Coordinated Spatio-Temporal Redundancy Elimination for Fast Video Analytics
- [INFOCOM'24] AIChronoLens: Advancing Explainability for Time Series AI Forecasting in Mobile Networks
- [MobiSys'24] ChirpTransformer: Versatile LoRa Encoding for Low-power Wide-area IoT
- [SigComm'24] In-Network Address Caching for Virtual Networks
2023
- [INFOCOM] https://infocom2023.ieee-infocom.org/program/accepted-paper-list-main-conference
- [MobiCom] https://sigmobile.org/mobicom/2023/accepted.html
- [SigComm] https://conferences.sigcomm.org/sigcomm/2023/list-accepted.html
- [NSDI] https://www.usenix.org/conference/nsdi23/fall-accepted-papers
- [SEC] http://acm-ieee-sec.org/2022/program.php
- [MASS] https://cis.temple.edu/ieeemass2023/acceptedpapers.html
2022
INFOCOM 2022
Program site:https://infocom2022.ieee-infocom.org/program/accepted-paper-list-main-conference
- [Edge] An Efficient Two-Layer Task Offloading Scheme for MEC Networks with Multiple Services Providers
- [Edge] DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation
- [Edge] Two Time-Scale Joint Service Caching and Task Offloading for UAV-assisted Mobile Edge Computing
- [Edge] Towards Online Privacy-preserving Computation Offloading in Mobile Edge Computing
- [Delivery] Joint Order Dispatch and Charging for Electric Self-Driving Taxi Systems
- [Recharge] MDoC: Compromising WRSNs through Denial of Charge by Mobile Charger
- [Recharge] Energy Saving in Heterogeneous Wireless Rechargeable Sensor Networks
- [Network] Deadline-aware Multipath Transmission for Streaming Blocks
- [IoT] FlexPatch: Fast and Accurate Object Detection for On-device High-Resolution Live Video Analytics
- [Edge] DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation
- [Edge] Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration
- [Edge] Online File Caching in Latency-Sensitive Systems with Delayed Hits and Bypassing
- [Edge] Distributed Cooperative Caching in Unreliable Edge Environments
- [Edge] Enabling QoE Support for Interactive Applications over Mobile Edge with High User Mobility
- [IoT] Encoding-based Range Detection in Commodity RFID Systems
- [Edge] User Experience Oriented Task Computation for UAV-Assisted MEC System
- [Edge] DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation
- [Crowdsensing] Worker Selection Towards Data Completion for Online Sparse Crowdsensing
- [Crowdsourcing] Learning for Crowdsourcing: Online Dispatch for Video Analytics with Guarantee
- [IoT] PACC: Proactive and Accurate Congestion Feedback for RDMA Congestion Control
- [Edge] Online Scheduling of Transmission and Processing for AoI Minimization with Edge Computing
- [UAV] A Cloud-Terminal Collaborative System for Crowd Counting and Localization Using Multi-UAVs
- [UAV] EFTA: An Energy-efficient, Fault-Tolerant, and Area-optimized UAV Placement Scheme for Search Operations
- [Edge] EdgeMatrix: A Resources Redefined Edge-Cloud System for Prioritized Services
- [IoT] IoTMosaic: Inferring User Activities from IoT Network Traffic in Smart Homes
Sigcomm 2022
Program site:http://conferences.sigcomm.org/sigcomm/2022/program.html
- [IoT] Mobile access bandwidth in practice: measurement, analysis, and implications
- [IoT] Understanding 5G Performance for Real-world Services: a Content Provider’s Perspective
- [IoT] NeuroScaler: neural video enhancement at scale
- [Cloud] From Luna to Solar: The Evolutions of the Compute-to-Storage Networks in Alibaba Cloud
ICNP 2022
Program site:https://icnp22.cs.ucr.edu/submission.html
- [LoRa] X-MAC: Achieving High Scalability via Imperfect-Orthogonality Aware Scheduling in LPWAN
- [LoRa] Is LoRaWAN Really Wide? Fine-grained LoRa Link-level Measurement in An Urban Environment
IPSN 2022
Program site:https://ipsn.acm.org/2022/program.html?v=1
- [IoT] Furtively Connecting IoT Devices with Acoustic Noise
- [IoT] Cappella: Establishing Multi-User Augmented Reality Sessions Using Inertial Estimates and Peer-to-Peer Ranging
NSDI 2022
Program site:https://www.usenix.org/conference/nsdi22/technical-sessions
- [IoT] Exploiting Digital Micro-Mirror Devices for Ambient Light Communication
- [LoRa] Sense Me on the Ride: Accurate Mobile Sensing over a LoRa Backscatter Channel
- [LoRa] Saiyan: Design and Implementation of a Low-power Demodulator for LoRa Backscatter Systems
- [IoT] Whisper: IoT in the TV White Space Spectrum
- [Edge] Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
- [Delivery] Packet Order Matters! Improving Application Performance by Deliberately Delaying Packets
Mobisys 2022
Program site:https://www.sigmobile.org/mobisys/2022/accepted-papers.html
- [IoT] Bringing WebAssembly to Resource-constrained IoT Devices for Seamless Device-Cloud Integration
- [IoT] AutoCast: Scalable Infrastructure-less Cooperative Perception for Distributed Collaborative Driving
- [Edge] Plantar Biometrics for Edge Computing
TMC 2022
- [IoT] Compressed Sensing Based Low-Power Multi-View Video Coding and Transmission in Wireless Multi-Path Multi-Hop Networks
- [IoT] ECHO: Efficient Zero-Control-Packet Broadcasting for Mobile Ad Hoc Networks
- [IoT] Sensory Data Aggregation in Internet of Things: Period-Driven Pipeline Scheduling Approach
- [IoT] HearSmoking: Smoking Detection in Driving Environment via Acoustic Sensing on Smartphones
- [IoT] Trine: Cloud-Edge-Device Cooperated Real-time Video Analysis for Household Applications
- [IoT] WAVE: Edge-Device Cooperated Real-time Object Detection for Open-air Applications
- [Edge] Online MEC Offloading for V2V Networks
- [Edge] Reverse Auction-based Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing
TPDS 2022
- [Edge] Joint Coverage-Reliability for Budgeted Edge Application Deployment in Mobile Edge Computing Environment
- [Network] Hydra: A Decentralized File System for Persistent Memory and RDMA Networks
IoTJ 2022
- [Crowdsensing] Nondeterministic Mobility based Incentive Mechanism for Efficient Data Collection in Crowdsensing
- [Edge] Joint Shareability and Interference for Multiple Edge Application Deployment in Mobile-Edge Computing Environment
2021
Sensys 2021
Program site:http://sensys.acm.org/2021/program/
- [Wireless] STeC: Exploiting Spatial and Temporal Correlation for Event-based Communication in WSNs
- [Wireless] SpiderWeb: Enabling Through-Screen Visible Light Communication
- [IoT] CurveLight: An Accurate and Practical Light Positioning System
INFOCOM 2021
Program site:https://infocom2021.ieee-infocom.org/accepted-paper-list-main-conference
- [Wireless] WiForce: Wireless Sensing and Localization of Contact Forces on a Space Continuum
- [LoRa] Radio Frequency Fingerprint Identification for LoRa Using Deep Learning
- [LoRa] Pyramid: Real-Time LoRa Collision Decoding with Peak Tracking
- [Edge] FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism
- [UAV] Enhanced Flooding-Based Routing Protocol for Swarm UAV Networks: Random Network Coding Meets Clustering
- [Edge] EdgeSharing: Edge Assisted Real-time Localization and Object Sharing in Urban Streets
- [UAV] Towards Fine-Grained Spatio-Temporal Coverage for Vehicular Urban Sensing Systems
- [UAV] Heuristic Algorithms for Co-scheduling of Edge Analytics and Routes for UAV Fleet Missions
- [UAV] Minimizing the Number of Deployed UAVs for Delay-bounded Data Collection of IoT Devices
- [Edge] Distributed Threshold-based Offloading for Large-Scale Mobile Cloud Computing
- [Edge] Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System
- [Edge] Layer Aware Microservice Placement and Request Scheduling at the Edge
- [Service Cache] Joint Cache Size Scaling and Replacement Adaptation for Small Content Providers
- [Service Cache] Robust Service Mapping in Multi-Tenant Clouds
- [Service Cache] Reliability-aware Dynamic Service Chain Scheduling in 5G Networks based on Reinforcement Learning
- [Service Cache] GRADES: Gradient Descent for Similarity Caching
NSDI 2021
Program site:https://www.usenix.org/conference/nsdi21/technical-sessions
- [LoRa] Simplifying Backscatter Deployment: Full-Duplex LoRa Backscatter
- [Wireless] WiForce: Wireless Sensing and Localization of Contact Forces on a Space Continuum
- [Edge] Staying Alive: Connection Path Reselection at the Edge
- [Edge] When to Hedge in Interactive Services
- [Traffic Engineering] Cost-effective Cloud Edge Traffic Engineering with Cascara
- [System] Ownership: A Distributed Futures System for Fine-Grained Tasks
- [Service Chaining] Don't Yank My Chain: Auditable NF Service Chaining
- [IoT] AIRCODE: Hidden Screen-Camera Communication on an Invisible and Inaudible Dual Channel
- [Wireless] From Conception to Retirement: a Lifetime Story of a 3-Year-Old Wireless Beacon System in the Wild
- [System] Programming Network Stack for Middleboxes with Rubik
- [Routing] Staying Alive: Connection Path Reselection at the Edge
- [System] EPaxos Revisited
- [System] Elastic Resource Sharing for Distributed Deep Learning
- [Sketch] Toward Nearly-Zero-Error Sketching via Compressive Sensing
- [Coding] CodedBulk: Inter-Datacenter Bulk Transfers using Network Coding
- [Network] ATP: In-network Aggregation for Multi-tenant Learning
- [Distributed ML] Scaling Distributed Machine Learning with In-Network Aggregation
- [Distributed Deep Learning] Elastic Resource Sharing for Distributed Deep Learning
- [Wireless] One Protocol to Rule Them All: Wireless Network-on-Chip using Deep Reinforcement Learning
SIGCOMM 2021
Program site:https://conferences.sigcomm.org/sigcomm/2021/program.html
- [Wireless] L2D2: low latency distributed downlink for LEO satellites
- [Wireless] LAVA: Fine-grained 3D Indoor Wireless Coverage for Small IoT Devices
- [SDN] Revisiting the Open vSwitch Ten Years Later
- [Mechine Learning] Network Planning with Deep Reinforcement Learning
- [LoRa] Concurrent Interference Cancellation: Decoding Multiple Packet Collisions in LoRa
MobiCom 2021
Program site:https://www.sigmobile.org/mobicom/2021/accepted.html
- [Edge] Elf: Accelerate High-resolution Mobile Deep Vision with Content-aware Parallel Offloading
- [IoT] Large-Scale Vehicle Trajectory Reconstruction with Camera Sensing Network
- [IoT] HeadFi: Bringing Intelligence to All Headphones
- [Wireless] A Community-Driven Approach to Democratize Access to Satellite Ground Stations
MobiSys 2021
Program site:https://www.sigmobile.org/mobisys/2021/program.html
- [Wireless] Counting a stationary crowd using off-the-shelf wifi
- [Wireless] Accurate Ubiquitous Localization with Off-the-Shelf IEEE 802.11ac Devices
IPSN 2021
Program site:https://ipsn.acm.org/2021/program.html?v=22
- [LoRa] OwLL: Accurate LoRa Localization using the TV Whitespaces
- [LoRa] A Novel Model-Based Security Scheme for LoRa Key Generation
2020
ICNP 2020
Program site:https://icnp20.cs.ucr.edu/program.html
- [LoRa] AdapLoRa: Resource Adaptation for Maximizing Network Lifetime in LoRa Networks
- [LoRa] CloakLoRa: A Covert Channel over LoRa PHY
- [LoRa] Runtime Control of LoRa Spreading Factor for Campus Shuttle Monitoring
- [LoRa] Long-Lived LoRa: Prolonging the Lifetime of a LoRa Network
IEEE Journals
- [LoRa] [TII 2021] Extreme RSS Based Indoor Localization for LoRaWAN With Boundary Autocorrelation
- [System] [TMC 2021] Predictability and Prediction of Human Mobility Based on Application-Collected Location Data
- [Edge] [TMC 2021] Profit-Oriented Task Allocation for Mobile Crowdsensing With Worker Dynamics: Cooperative Offline Solution and Predictive Online Solution
- [UAV] [TMC 2021] Multi-Area Throughput and Energy Optimization of UAV-Aided Cellular Networks Powered by Solar Panels and Grid
- [UAV] [TMC 2021] Economic Analysis of Unmanned Aerial Vehicle (UAV) Provided Mobile Services
- [Edge] [TMC 2021] Edge-Enabled V2X Service Placement for Intelligent Transportation Systems
- [IoT] [TMC 2021] Real-Time Detection for Drowsy Driving via Acoustic Sensing on Smartphones
- [Edge] [TWC 2021] D2D-Assisted Multi-User Cooperative Partial Offloading, Transmission Scheduling and Computation Allocating for MEC
- [Edge] [IoTJ 2021] D2D-Enabled Mobile-Edge Computation Offloading for Multiuser IoT Network
- [Edge] [TVT 2020] Latency Minimization for D2D-Enabled Partial Computation Offloading in Mobile Edge Computing
- [Edge] [TWC 2019] Mobile-Traffic-Aware Offloading for Energy- and Spectral-Efficient Large-Scale D2D-Enabled Cellular Networks
- [Edge] [TWC 2019] D2D Communications Meet Mobile Edge Computing for Enhanced Computation Capacity in Cellular Networks
- [Edge] [JSAC 2017] On Consideration of Content Preference and Sharing Willingness in D2D Assisted Offloading
- [Edge] [JSAC 2016] D2D Fogging: An Energy-efficient and Incentive-aware Task Offloading Framework via Network-assisted D2D Collaboration
INFOCOM 2020
Program site:https://infocom2020.ieee-infocom.org/accepted-paper-list-main-conference
- [Edge] (How Much) Does a Private WAN Improve Cloud Performance?
- [Wireless] A Zeroth-Order ADMM Algorithm for Stochastic Optimization over Distributed Processing Networks
- [Edge] Towards Latency Optimization in Hybrid Service Function Chain Composition and Embedding
- [Edge] A Fast Hybrid Data Sharing Framework for Hierarchical Mobile Edge Computing
- [Charging Network] An Effective Multi-node Charging Scheme for Wireless Rechargeable Sensor Networks
- [Edge] Camel: Smart, Adaptive Energy Optimization for Mobile Web Interactions
- [Edge] Coded Edge Computing
- [Edge] Collaborate or Separate? Distributed Service Caching in Mobile Edge Clouds
- [LoRa] CoLoRa: Enable Muti-Packet Reception in LoRa
- [Edge] Computation Scheduling for Wireless Powered Mobile Edge Computing Networks
- [Edge] Cooperative Service Caching and Workload Scheduling in Mobile Edge Computing
- [Edge] COSE: Configuring Serverless Functions using Statistical Learning
- [Wireless] De-anonymization of Social Networks: the Power of Collectiveness
- [Edge] Delay-Optimal Distributed Edge Computing in Wireless Edge Networks
- [Edge] Distributed Collaborative 3D-Deployment of UAV Base Stations for On-Demand Coverage
- [LoRa] DyLoRa: Towards Energy Efficient Dynamic LoRa Transmission Control
- [Edge] Elastic Network Virtualization
- [Wireless] Global Cooperation for Heterogeneous Networks
- [Wireless] Hop-by-Hop Multipath Routing: Choosing the Right Nexthop Set
- [Edge] HotDedup: Managing Hot Data Storage at Network Edge through Optimal Distributed Deduplication
- [Wireless] How to Distribute Computation in Networks
- [Path Plan] Informative Path Planning for Mobile Sensing with Reinforcement Learning
- [5G Wireless] Is Deadline Oblivious Scheduling Efficient for controlling real-time traffic in cellular downlink systems?
- [Edge] Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing
- [Edge] Latency-aware VNF Chain Deployment with Efficient Resource Reuse at Network Edge
- [LoRa] LiteNap: Downclocking LoRa Reception
- [Edge] Network-Aware Optimization of Distributed Learning for Fog Computing
- [Edge] Network Slicing in Heterogeneous Software-defined RANs
- [Edge] Offloading Dependent Tasks in Mobile Edge Computing with Service Caching
- [Code] On the Optimal Repair-Scaling Trade-off in Locally Repairable Codes
- [Lora] Online Concurrent Transmissions at LoRa Gateway
- [Edge] Online Placement of Virtual Machines with Prior Data
- [IOT] OST: On-Demand TSCH Scheduling with Traffic-awareness
- [Edge] PAM & PAL: Policy-Aware Virtual Machine Migration and Placement in Dynamic Cloud Data Centers
- [Charging Network] Placing Wireless Chargers with Limited Mobility
- [Charging Network] An Effective Multi-node Charging Scheme for Wireless Rechargeable Sensor Networks
- [Charging Network] Maximizing Charging Utility with Obstacles through Fresnel Diffraction Model
- [Edge] Predictive Scheduling for Virtual Reality
- [Edge] Reducing the Service Function Chain Backup Cost over the Edge and Cloud by a Self-adapting Scheme
- [Localization] Selection of Sensors for Efficient Transmitter Localization
- [Video Streaming] Streaming 360◦ Videos using Super-resolution
- [Multi-Server Systems] Tiny Tasks - A Remedy for Synchronization Constraints in Multi-Server Systems
- [Wireless] AZTEC: Anticipatory Capacity Allocation for Zero-Touch Network Slicing
- [Wireless] OKpi: All-KPI Network Slicing Through Efficient Resource Allocation
- [Crowd Sensing] Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning
- [UAV] VFC-Based Cooperative UAV Computation Task Offloading for Post-disaster Rescue
- [UAV] ImgSensingNet: UAV Vision Guided Aerial-Ground Air Quality Sensing System
- [Wireless] Dynamic Mobility-Aware Interference Avoidance for Aerial Base Stations in Cognitive Radio Networks
- [Autonomous Driving] Sensing and Communication Integrated System for Autonomous Driving Vehicles
- [Wireless] Enhancing Cellular Performance via Vehicular-based Opportunistic Relaying and Load Balancing
- [Edge] Fog-based Data Offloading in Urban IoT Scenarios
- [Edge] An Integrated Top-down and Bottom-up Task Allocation Approach in Social Sensing based Edge Computing Systems
- [Wireless] Data-Intensive Routing in Delay Tolerant Networks
- [Edge] A Scheduling Strategy for Reduced Power Consumption in Mobile Edge Computing
- [AoI, Wireless] AoI and Throughput Tradeoffs in Routing-aware Multi-hop Wireless Networks
- [AoI, Wireless] AoI Scheduling with Maximum Thresholds
- [AoI, Wireless] Minimizing Age of Information in Multi-channel Time-sensitive Information Update Systems
MobiCom 2020
Program site:https://sigmobile.org/mobicom/2020/program.php
- [Edge] EagleEye: Wearable Camera-based Person Identification in Crowded Urban Spaces
- [RFID] Renovating Road Signs for Infrastructure-to-Vehicle Networking: A Visible Light Backscatter Communication and Networking Approach
- [Localization] Voice Localization Using Nearby Wall Reflections
- [Android] Experience: Aging or Glitching? Why Does Android Stop Responding and What Can We Do About It?
- [Wireless] WiChronos : Energy-Efficient Modulation for Long-Range, Large-Scale Wireless Networks
- [Video Streaming] NEMO: Enabling Neural-enhanced Video Streaming on Commodity Mobile Devices
- [Federated Learning] Billion-Scale Federated Learning on Mobile Clients: A Submodel Design with Tunable Privacy
- [Wireless] SociTrack: Infrastructure-Free Interaction Tracking through Mobile Sensor Networks
- [LPWAN] Nephalai: Towards LPWAN C-RAN with Physical Layer Compression
- [Edge] SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud
- [Wireless] Microscope: Mobile Service Traffic Decomposition for Network Slicing as a Service
- [Wireless] LMAC: Efficient Carrier-Sense Multiple Access for LoRa
- [Wireless] Joltik: Enabling Energy-Efficient "Future-Proof" Analytics on Low-Power Wide-Area Networks
- [Low-Power Network] Insect-scale Aerial Deployment of Wireless Sensors
- [NB-IoT] Understanding Power Consumption of NB-IoT in the Wild: Tool and Large-scale Measurement
- [AR] Ear-AR: Indoor Acoustic Augmented Reality on Earphones
- [Wireless] Integrating Device, Cloud, and Client Development for IoT Applications with OneLink.
- [Cloud] Integrating Device, Cloud, and Client Development for IoT Applications with OneLink.
SigComm 2020
Program site:https://conferences.sigcomm.org/sigcomm/2020/program.html
- [Wireless] Concurrent entanglement routing for quantum networks: model and designs
- [Wireless] Routing on Multiple Optimality Criteria
- [Video Streaming] Server-driven video streaming for deep learning inference
- [Video] Reducto: On camera filtering for resource-efficient real-time video analytics
- [Edge] Fault-tolerant service function chaining
- [Edge] Contention aware performance prediction for virtualized network functions
- [Wireless] TACK: Improving wireless transport performance by taming acknowledgments
- [Wireless, 5G] Beyond 5G reliable extreme mobility management
- [Wireless, 5G] Understanding operational 5G: A first measurement study on its coverage, performance and energy consumption
- [Wireless] Interpreting deep-learning based networking systems
NSDI 2020
Program site:https://www.usenix.org/conference/nsdi20/accepted-papers
- [Wireless] AccelTCP: Accelerating Network Applications with Stateful TCP Offloading
- [Wireless] Contra: A Programmable System for Performance-aware Routing
- [Wireless] Meaningful Availability
- [Edge] Gandalf: An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure
- [IOT] TinySDR: Low-Power SDR Platform for Over-the-Air Programmable IoT Testbeds
- [Edge] Firecracker: Lightweight Virtualization for Serverless Applications
- [Database] Millions of Tiny Databases
- [Wireless] Rex: Preventing Bugs and Misconfiguration in Large Services Using Correlated Change Analysis
- [Wireless] Check before You Change: Preventing Correlated Failures in Service Updates
- [Wireless] Comb Decoding towards Collision-Free WiFi
- [Wireless] AmphiLight: Direct Air-Water Communication with Laser Light
- [Wireless] Comb Decoding towards Collision-Free WiFi
- [Edge] Firecracker: Lightweight Virtualization for Serverless Applications
- [Automobile] CarMap: Fast 3D Feature Map Updates for Automobiles
IPSN 2020
Program site:https://ipsn.acm.org/2020/program.html
- [IOT] Distributed Slot Scheduling for QoS Guarantee over TSCH-based IoT Networks via Adaptive Parameterization.
- [Lora] SateLoc: A Virtual Fingerprinting Approach to Outdoor LoRa Localization using Satellite Images
- [IOT] Robust Dynamic Hand Gesture Interaction using LTE Terminals
- [Crowd Source] Road Grade Estimation Using Crowd-sourced Smartphone Data
- [IOT] Understanding Deep Model Compression for IoT Devices
- [Wireless] Low-Power Wide-Area Networks: Connect, Sense and Secure
- [Edge] Activity Classification at the Edge
- [LPWAN] Key Generation Scheme for LPWAN IoT Devices
- [NFV] A Heterogeneous Parallel Packet Processing Architecture for NFV Acceleration
- [Edge] Placement and Allocation of Virtual Network Functions: Multi-dimensional Case
- [LPWAN] Quick (and Dirty) Aggregate Queries on Low-Power WANs
2019
ICNP 2019
Program site:https://icnp20.cs.ucr.edu/program.html
- [Wireless] Achieving Universal Low-Power Wide-Area Networks on Existing Wireless Devices
- [Wireless] BeaconRider: Opportunistic Sharing of Beacon Air-Time in Densely Deployed WLANs
- [Wireless] BDAC: A Behavior-aware Dynamic Adaptive Configuration on DHCP in Wireless LANs
- [Wireless] Exploiting Rateless Codes and Cross-Layer Optimization for Low-Power Wide-Area Networks
- [Lora] LoRaBee: Cross-Technology Communication from LoRa to ZigBee via Payload Encoding
INFOCOM 2019
Program site:https://infocom2019.ieee-infocom.org/main-technical-program
- [Edge] Joint Service Placement and Request Routing in Multi-cell Mobile Edge Computing Networks
- [Wirelelss, IoT] CRF: Coexistent Routing and Flooding using WiFi Packets in Heterogeneous IoT Networks
- [IoT, Charging] Charging Oriented Sensor Placement and Flexible Scheduling in Rechargeable WSN
- [D2D] D2D Offloading for Statistical QoS Provisionings Over 5G Multimedia Mobile Wireless Networks
- [Wireless] Interference Recycling: Exploiting Interfering Signals to Enhance Data Transmission
- [Wireless] Enabling Cross-Technology Coexistence for Extremely Weak Wireless Devices
- [IoT, Edge] Load Balancing for Interdependent IoT Microservices
- [Networking, NF] Octans: Optimal Placement of Service Function Chains in Many-Core Systems
- [Measurement, networking] Bound-based Network Tomography with Additive Metrics
- [Link prediction, wireless] GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks
- [IoT, wireless] EE-IoT: An Energy-Efficient IoT Communication Scheme for WLANs
- [Loc, wireless, IoT] iLPS: Local Positioning System with Simultaneous Localization and Wireless Communication
- [NF, networking] Hierarchical Multi-resource Fair Queueing for Network Function Virtualization
- [Measurement, SDN] Adaptive Path Tracing with Programmable Bloom Filters in Software-Defined Networks
- [Edge] Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems
- [Edge, NF] Joint Placement and Allocation of Virtual Network Functions with Budget and Capacity Constraints
- [Mobile, system] Detecting Vulnerable Android Inter-App Communication in Dynamically Loaded Code
- [IoT] Parameter Self-Configuration and Self-Adaptation in Industrial Wireless Sensor-Actuator Networks
- [Measurement, caching] Counterintuitive Characteristics of Optimal Distributed LRU Caching Over Unreliable Channels
- [Edge, crowdsensing] An Integrated Top-down and Bottom-up Task Allocation Approach in Social Sensing based Edge Computing Systems
- [IoT, offloading] Fog-based Data Offloading in Urban IoT Scenarios
- [Edge, DRL, QoE] Intelligent Edge-Assisted Crowdcast with Deep Reinforcement Learning for Personalized QoE
- [IoT] Space-Optimal Packet Routing on Trees
- [mmW] Smartlink: Exploiting Channel Clustering Effects for Reliable Millimeter Wave Communications
- [UAV] PANDA: Placement of Unmanned Aerial Vehicles Achieving 3D Directional Coverage
- [Video, DRL] DRL360: 360-degree Video Streaming with Deep Reinforcement Learning
- [Edge] Hetero-Edge: Orchestration of Real-time Vision Applications on Heterogeneous Edge Clouds
- [Edge] Service Placement and Request Scheduling for Data-intensive Applications in Edge Clouds
- [App] UnseenCode: Invisible On-screen Barcode with Image-based Extraction
- [VLC] SynLight: Synthetic Light Emission for Fast Transmission in COTS Device-enabled VLC
- [IoT, lifetime] Maximum Lifetime Analytics in IoT Networks
- [Federated learning] Federated Learning over Wireless Networks: Optimization Model Design and Analysis
- [Federated learning] A Collaborative Learning Based Approach for Parameter Configuration of Cellular Networks
- [Edge, offloading] Joint Offloading Decision and Resource Allocation with Uncertain Task Computing Requirement
- [Edge] Winning at the Starting Line: Joint Network Selection and Service Placement for Mobile Edge Computing
- [Edge] Adaptive User-managed Service Placement for Mobile Edge Computing: An Online Learning Approach
- [charging, IoT] Minimizing Charging Delay for Directional Charging in Wireless Rechargeable Sensor Networks
- [Wearable] WristSpy: Snooping Passcodes in Mobile Payment Using Wrist-worn Wearables
- [App, mobile] NAuth: Secure Face-to-Face Device Authentication via Nonlinearity
- [Blockchain] ACCEL: Accelerating the Bitcoin Blockchain for High-throughput, Low-latency Applications
- [Networked learning] The Role of Network Topology for Distributed Machine Learning
- [Edge] Adaptive Interference-Aware VNF Placement for Service-Customized 5G Network Slices
- [Edge] Nomad: An Efficient Consensus Approach for Latency-Sensitive Edge-Cloud Applications
- [Edge] A Distributed Orchestration Algorithm for Edge Computing Resources with Guarantees
- [Charging Network] Collaborated Tasks-driven Mobile Charging and Scheduling A Near Optimal Result
- [Charging Network] Minimizing Charging Delay for Directional Charging in Wireless Rechargeable Sensor Networks
- [Charging Network] Charging Oriented Sensor Placement and Flexible Scheduling in Rechargeable WSNs
MobiCom 2019
Program site: https://sigmobile.org/mobicom/2019/accepted.php
- [App] Software Defined Cooking using a Microwave Oven
- [LoRa] Challenge: Unlicensed LPWANs Are Not Yet the Path to Ubiquitous Connectivity
- [Wearable] Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications
- [App] HealthSense: Software-defined Mobile-based Clinical Trials
- [Wireless] On-Off Noise Power Communication
- [System] Living IoT: A Flying Wireless Platform on Live Insects
- [Vehicle] VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration
- [App] SolarGest: Ubiquitous and Battery-free Gesture Recognition using Solar Cells
- [Mobile] Fire in Your Hands: Understanding Thermal Behavior of Smartphones
- [App] Taprint: Secure Text Input for Commodity Smart Wearables
- [App] Keep Others From Peeking At Your Mobile Device Screen!
- [Edge, AR] Edge Assisted Real-time Object Detection for Mobile Augmented Reality
- [Measurement] An Active-Passive Measurement Study of TCP Performance over LTE on High-speed Rails
- [Mobile] Optimizing Energy Efficiency of Browsers in Energy-Aware Scheduling–enabled Mobile Devices
SigComm 2019
Program site: https://conferences.sigcomm.org/sigcomm/2019/program.html
- [Networking] Gentle Flow Control: Avoiding Deadlock in Lossless Networks
- [IoT, 5G] A Millimeter Wave Network for Billions of Things
- [Mobile] E2E: Embracing User Heterogeneity to ImproveQuality of Experience on the Web
- [Edge] Offloading Distributed Applications onto SmartNICs using iPipe
- [Networking, QoE] End-to-End Transport for Video QOE Fairness
- [VR, QoE] Pano: Optimizing 360 Video Streaming with a Better Understanding of Quality Perception
- [Networking] On Optimal Neighbor Discovery
NSDI 2019
Program site: https://www.usenix.org/conference/nsdi19/technical-sessions
- [Networking] NetBouncer: Active Device and Link Failure Localization in Data Center Networks
- [Networking, NF] Performance Contracts for Software Network Functions
- [Networking, NF] Correctness and Performance for Stateful Chained Network Functions
- [Blockchain] Monoxide: Scale out Blockchains with Asynchronous Consensus Zones
- [Networking] Loom: Flexible and Efficient NIC Packet Scheduling
- [Networking] Eiffel: Efficient and Flexible Software Packet Scheduling
IPSN 2019
Program site: http://ipsn.acm.org/2019/program.html
- [LoRa] LongShoT: Long-Range Synchronization of Time
- [Edge, system] Event-triggered Natural Hazard Monitoring with Convolutional Neural Networks on the Edge
- [VR] DeltaVR: Achieving High-Performance Mobile VR Dynamics through Pixel Reuse
- [App] TennisEye: Tennis Ball Speed Estimation using a Racket-mounted Motion Sensor
- [LoRa] Automated Estimation of Link Quality for LoRa: A Remote Sensing Approach.
- [Wireless] ALICE: Autonomous Link-based Cell Scheduling for TSCH
- [App] Can a phone hear the shape of a room?
- [Wireless] Cross-Sender Bit-Mixing Coding
MobiHoc 2019
Program site: https://www.sigmobile.org/mobihoc/2019/accepted-papers.html
- [Robot, Nav] Robot Navigation in Radio Beam Space: Leveraging Robotic Intelligence for Seamless mmWave Network Coverage
- [Measurement] How Bad is Selfish Caching?
ICDCS 2019
Program site: https://conferences.computer.org/icdcs/2019/#!/toc/0
- [Networking] SpeedyBox: Low-Latency NFV Service Chains with Cross-NF Runtime Consolidation
- [Dist. learning] Falcon: Towards Computation-Parallel Deep Learning in Heterogeneous Parameter Server196
- [Streaming] Beyond QoE: Diversity Adaption in Video Streaming at the Edge
- [Edge] DMRA: A Decentralized Resource Allocation Scheme for Multi-SP Mobile Edge Computing
- [Edge] Incentivizing Microservices for Online Resource Sharing in Edge Clouds
- [Edge] A Cyclic Game for Joint Cooperation and Competition of Edge Resource Allocation
- [Charging] Near Optimal Charging Scheduling for 3-D Wireless Rechargeable Sensor Networks with Energy Constraints
- [App] HyperEar: Indoor Remote Object Finding with a Single Phone678
- [Edge, NFV] Providing Reliability-Aware Virtualized Network Function Services for Mobile Edge Computing
- [IoT, measurement] Understanding Energy Efficiency in IoT App Executions
- [IoT, Federated] DÏoT: A Federated Self-learning Anomaly Detection System for IoT
- [App, acoustic] EchoWrite: An Acoustic-based Finger Input System Without Training
- [IoT, AdHoc] Low-Latency Concurrent Broadcast Scheduling in Duty-Cycled Multihop Wireless Networks
- [Charging] Minimizing the Longest Charge Delay of Multiple Mobile Chargers for Wireless Rechargeable Sensor Networks by Charging Multiple Sensors Simultaneously
- [Edge, offload] Joint Online Edge Caching and Load Balancing for Mobile Data Offloading in 5G Networks
- [DRL, VNF, Edge] Deep Reinforcement Learning Based VNF Management in Geo-distributed Edge Computing
- [Blockchain, Edge] Hierarchical Edge-Cloud Computing for Mobile Blockchain Mining Game
2018
SenSys 2018
Program site: http://sensys.acm.org/2018/program/
- [Loc] 3D Localization for Sub-Centimeter Sized Devices
- [Loc] Accurate 3D Localization for 60 GHz Networks
- [App, freetouch] UbiTap: Leveraging Acoustic Dispersion for Ubiquitous Touch Interface on Solid Surfaces
- [AR] MARVEL: Enabling Mobile Augmented Reality with Low Energy and Low Latency
- [VM for IoT] CapeVM: A Safe and Fast Virtual Machine for Resource-Constrained Internet-of-Things Devices
- [IoT] Passive ZigBee: Enabling ZigBee Communication in IoT networks with 1000x Less Power Consumption
CoNext 2018
Program site: https://conferences2.sigcomm.org/co-next/2018/#!/program
- [Measurement] Five Years at the Edge: Watching Internet from the ISP Network
- [Sensing] Boosting fine-grained activity sensing by embracing wireless multipath effects
- [Mobile, web] Proteus: Network-aware Web Browsing on Heterogeneous Mobile Systems
ICNP 2018
Program site: http://icnp18.cs.ucr.edu/program.html
- [Edge] Dynamic Heterogeneity-Aware Coded Cooperative Computation at the Edge
- [Edge, AR] DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing
- [NF] Virtual Network Function Deployment in Tree-structured Networks
- [SDN, update] Hermes: Utility-aware Network Update in Software-defined WANs
- [SDN, update, protocol] Shifter: A Consistent Multicast Routing Update Scheme in Software-Defined Networks
- [Wireless, backscatter] Canon: Exploiting Channel Diversity for Reliable Parallel Decoding in Backscatter Communication