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发表状态已发表Published
题名Distributed optimal control for traffic networks with fog computing
作者
发表日期2019
发表期刊China Communications
ISSN/eISSN1673-5447
卷号16期号:10页码:202-213
摘要

This paper presents a distributed optimization strategy for large-scale traffic network based on fog computing. Different from the traditional cloud-based centralized optimization strategy, the fog-based distributed optimization strategy distributes its computing tasks to individual sub-processors, thus significantly reducing computation time. A traffic model is built and a series of communication rules between subsystems are set to ensure that the entire transportation network can be globally optimized while the subsystem is achieving its local optimization. Finally, this paper numerically simulates the operation of the traffic network by mixed-Integer programming, also, compares the advantages and disadvantages of the two optimization strategies. © 2013 China Institute of Communications.

关键词distributed control distributed optimization fog computing traffic network
DOI10.23919/JCC.2019.10.013
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收录类别SCIE
语种英语English
WOS研究方向Telecommunications
WOS类目Telecommunications
WOS记录号WOS:000495358100013
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/3571
专题个人在本单位外知识产出
作者单位
1.Department of Operations Research, University of Texas at Austin, Austin, TX 76019, United States
2.School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China
3.Faculty of Engineering and the Built Environment, Institute for Intelligent Systems, University of Johannesburg, Johannesburg, 2006, South Africa
推荐引用方式
GB/T 7714
Wang, Yijie,Wang, Lei,Amir, Saeedet al. Distributed optimal control for traffic networks with fog computing[J]. China Communications, 2019, 16(10): 202-213.
APA Wang, Yijie, Wang, Lei, Amir, Saeed, & Wang, Qingguo. (2019). Distributed optimal control for traffic networks with fog computing. China Communications, 16(10), 202-213.
MLA Wang, Yijie,et al."Distributed optimal control for traffic networks with fog computing". China Communications 16.10(2019): 202-213.
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