Title: Railway wireless train communication network scheduling based on GA-BP algorithm

Authors: Chenyou Li; Zhinan Li; Yafei Li

Addresses: Department of Railway Locomotive and Rolling Stock, Hebei Vocational College of Rail Transportation, Shijiazhuang, 052160, China ' Department of Railway Locomotive and Rolling Stock, Hebei Vocational College of Rail Transportation, Shijiazhuang, 052160, China ' Department of Railway Locomotive and Rolling Stock, Hebei Vocational College of Rail Transportation, Shijiazhuang, 052160, China

Abstract: Aiming at the problems of high packet loss rate, large scheduling error and long scheduling delay in the railway wireless train communication network scheduling. Therefore, a GA-BP-based scheduling algorithm for railway wireless train communication network is proposed. Firstly, the structure characteristics of railway wireless train communication network are analysed. Then, complete the determination of dispatching technical parameters such as line impedance value, reflection coefficient, impedance value during line signal transmission, communication period, etc. Finally, the GA-BP scheduling model is constructed by combining the genetic algorithm and BP neural network algorithm, and the fitness function is introduced to modify the scheduling results to realise the scheduling algorithm design. The test results show that the packet loss rate in the proposed method is low, and the scheduling error is small.

Keywords: GA-BP; railway wireless train; communication network; scheduling algorithm; technical parameters; fitness function.

DOI: 10.1504/IJRIS.2024.142356

International Journal of Reasoning-based Intelligent Systems, 2024 Vol.16 No.4, pp.278 - 288

Received: 31 Jan 2023
Accepted: 21 Mar 2023
Published online: 25 Oct 2024 *

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