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Mobile Edge Cooperation Optimization for Wearable Internet of Things: A Network Representation-Based Framework

Authors
Kong, XiangjieTong, ShiqinGao, HaoranShen, GuojiangWang, KailaiCollotta, MarioYou, IlsunDas, Sajal K.
Issue Date
Jul-2021
Publisher
Institute of Electrical and Electronics Engineers
Keywords
Edge computing; Task analysis; Optimization; Informatics; Cloud computing; Cooperative systems; Cooperative optimization; edge cooperative network (ECN); mobile edge computing (MEC); wearable sensor
Citation
IEEE Transactions on Industrial Informatics, v.17, no.7, pp 5050 - 5058
Pages
9
Journal Title
IEEE Transactions on Industrial Informatics
Volume
17
Number
7
Start Page
5050
End Page
5058
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/18753
DOI
10.1109/TII.2020.3016037
ISSN
1551-3203
1941-0050
Abstract
As a new computing paradigm, edge computing emerges in various fields. Many tasks previously relied on cloud computing are distributed to various edge devices that cooperate to complete the tasks. However, circumstantial factors in the edge network (e.g., functionality, transmission efficiency, and resource limitation) become more complex than those in cloud computing. Consequently, there is instability that cannot be ignored in the cooperation between the edge devices. In this article, we propose a novel framework to optimize edge cooperative network (ECN), called ECN-Opt, to improve the performance of edge computing tasks. Specifically, we first define the evaluation metrics for cooperation. Next, the cooperation of an ECN is optimized to improve the performance of specific tasks. Extensive experiments using real datasets from wearable sensors on the players in soccer teams demonstrate that our ECN-Opt framework performs well, and it also validate the effectiveness of the proposed optimization algorithm.
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