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Green Survivable Collaborative Edge Computing in Smart Cities

delete2018-04-01
delete62
PRE
AI
W
Weigang Hou
Z
Zhaolong Ning *
L
Lei Guo *
DOI:10.1109/TII.2018.2797922delete
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Abstract

Abstract

En 中文
As an integrated environment deployed with wired and wireless infrastructures, the smart city heavily relies on the wireless-optical broadband access network. The information flows captured by indoor devices are sent to optical network units through front-end wireless mesh sensor networks (WMNs) and, finally, reach the optical line terminal for industrial/commercial decision making via the passive optical network backhaul. To reduce the backhaul bandwidth saturated by this conventional approach, edge devices are deployed at the front-end WMN to preprocess information flows. Based on collaborative edge computing, home users or factory workers customize their computing services as virtual networks embedded onto the common WMN. In this paper, we propose the green survivable virtual network embedding for the collaborative edge computing in smart cities. We mathematically formulate the problem and derive the corresponding bound. Extensive simulations with real traces demonstrate the algorithm effectiveness.
Keywords:
Collaborative edge computing
green survivability
smart cities
wireless mesh sensor networks (WMNs)
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Journal

IEEE Transactions on Industrial Informatics cover
IEEE Transactions on Industrial Informatics
IF:
9.9
Papers:
8.3K
Citations:
6.0W

Organization

N
northeastern university - china
Scholars:
3.1W
Papers: 2.7W
Citations: 37
D
Dalian University of Technology
Scholars:
5.9W
Papers: 4.4W
Citations: 5.5W