Difference between revisions of "Main Page"
| Line 15: | Line 15: | ||
As IoT systems are more pervasively deployed, massive computation and communication demands emerge from the numerous IoT devices. | As IoT systems are more pervasively deployed, massive computation and communication demands emerge from the numerous IoT devices. | ||
Edge computing is key to addressing the demands, providing additional computation and communication resources in the proximity of front end users. | Edge computing is key to addressing the demands, providing additional computation and communication resources in the proximity of front end users. | ||
Specific topics include resource allocation, service chaining, service placement, deployment, etc. | Specific topics include resource allocation, network function virtualization (NFV), service chaining, service placement, deployment, etc. | ||
==== Mobile/wearables computing ==== | ==== Mobile/wearables computing ==== | ||
With the aid of edge computing and low-power embedded computing, | With the aid of edge computing and low-power embedded computing, | ||
it becomes possible to transplant complex machine learning algorithms to the mobile and wearable | it becomes possible to transplant complex machine learning algorithms to the mobile and wearable devices. | ||
In mobile/wearable computing, our research work mainly focuses on | In mobile/wearable computing, our research work mainly focuses on | ||
data-driven applications on human-machine interaction, cyber-physical interfaces, etc. | data-driven applications on human-machine interaction, cyber-physical interfaces, etc. | ||
=== People === | === People === | ||
Mobinets is led by Dr. | Mobinets is led by Dr. [http://zhiweizhao.com Zhiwei Zhao]. | ||
We have a close collaboration with professors and researchers including: | |||
* Prof. [https://people.exeter.ac.uk/gm321/ Geyong Min], University of Exeter, UK | |||
* Prof. [https://emps.exeter.ac.uk/computer-science/staff/kl406 Ke Li], University of Exeter, UK | |||
* Prof. [http://users.jyu.fi/~zhchang/ Zheng Chang], University of Jyväskylä, Jyväskylä, Finland | |||
Some of our students are co-supervised by the above professors in the area of network big data, network function virtualization, and resource optimization. | |||
=== 招生 === | === 招生 === | ||
Revision as of 20:43, 27 August 2019
MobiNetS is a research group targeting at the cutting-edge topics in the area of mobile, networked and smart computing, including low power wireless and sensor networks (LPWSN), mobile edge computing (MEC), network function virtualization (NFV), wireless sensing, etc. Our group locates in UESTC@China. 团队招生信息在招生。
Research interests
The research interests include low-power wireless computing, edge computing for IoT and mobile/wearable computing. In low-power wireless computing,
Low-power wireless
Low-power wireless computing is an important enabling technology for Internet-of-Things (IoT). In low-power wireless, our research work mainly focuses on ZigBee-based ad hoc networks and LoRa-based long-range low-power wireless networks. Specific topics include network deployment, performance modeling, routing protocols, network coding, resource allocation, etc.
Edge computing for IoT
As IoT systems are more pervasively deployed, massive computation and communication demands emerge from the numerous IoT devices. Edge computing is key to addressing the demands, providing additional computation and communication resources in the proximity of front end users. Specific topics include resource allocation, network function virtualization (NFV), service chaining, service placement, deployment, etc.
Mobile/wearables computing
With the aid of edge computing and low-power embedded computing, it becomes possible to transplant complex machine learning algorithms to the mobile and wearable devices. In mobile/wearable computing, our research work mainly focuses on data-driven applications on human-machine interaction, cyber-physical interfaces, etc.
People
Mobinets is led by Dr. Zhiwei Zhao. We have a close collaboration with professors and researchers including:
- Prof. Geyong Min, University of Exeter, UK
- Prof. Ke Li, University of Exeter, UK
- Prof. Zheng Chang, University of Jyväskylä, Jyväskylä, Finland
Some of our students are co-supervised by the above professors in the area of network big data, network function virtualization, and resource optimization.