The communication system of the next-generation train control system (TCS) based on cloud computing is modeled in this paper. The end-to-end communication delay is analyzed as the main factor affecting the real-time performance of the system. To improve this performance, a time-sensitive network (TSN) is introduced into the system. We analyze and simulate the end-to-end communication delay of systems with the TSN and compare it with traditional Ethernet. It is concluded that applying a TSN, based on the nw-DRR scheduling algorithm and with optimized parameters, can significantly reduce the end-to-end communication delay decreases from tens of milliseconds to milliseconds.


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    Title :

    End-to-End Communication Delay Analysis of Next-Generation Train Control System Based on Cloud Computing


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Liu, Baoming (editor) / Jia, Limin (editor) / Qin, Yong (editor) / Liu, Zhigang (editor) / Diao, Lijun (editor) / An, Min (editor) / Wen, Jiakun (author) / Ma, Lianchuan (author) / Cao, Yuan (author)

    Conference:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2019 ; Qingdao, China October 25, 2019 - October 27, 2019



    Publication date :

    2020-04-02


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English