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.


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    Titel :

    Multi-train Cooperative Control-Oriented MEC Deployment Strategy


    Beteiligte:
    Wu, Wei (Autor:in) / Song, Haifeng (Autor:in) / Li, Yidong (Autor:in) / Ma, Jianjun (Autor:in) / Dong, Hairong (Autor:in)


    Erscheinungsdatum :

    08.10.2022


    Format / Umfang :

    1033407 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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