Multi-train Cooperative Control-Oriented MEC Deployment Strategy

被引:2
|
作者
Wu, Wei [1 ]
Song, Haifeng [2 ]
Li, Yidong [3 ]
Ma, Jianjun [4 ]
Dong, Hairong [1 ]
机构
[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing, Peoples R China
[2] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[3] Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China
[4] China Acad Railway Sci Co Ltd, Inst Elect Comp Technol, Beijing 100044, Peoples R China
基金
中国国家自然科学基金;
关键词
high-speed railway; mobile edge computing; 5G network; multi-train cooperative control;
D O I
10.1109/ITSC55140.2022.9922447
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the development of intelligent High-Speed Railway, 5G network, Mobile Edge Computing (MEC) and multi-train cooperative control are adopted to support advanced technologies. Inter-train communication is a key factor in multi-train cooperative operation, but it has complex communication topology and is prone to interference. With the increase of on-board computing tasks, the lack of computing capacity is increasingly significant. In this paper, a novel communication scheme based on MECs is proposed to enable equivalent inter-train information transmission. Considered the operation time of different topology and load balancing, a multi-objective optimization model is established to minimize the number of topology switching and MECs in this scheme. And a two-phase algorithm is designed to search for the optimal deployment of MECs, which is combined with Particle Swarm Optimization (PSO). The simulation results show that the proposed deployment strategy can minimize the number of MECs while meeting the quality of service.
引用
收藏
页码:2001 / 2006
页数:6
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