An Efficient Time-Sensitive Networking Traffic Scheduling Method for Train Communication Network

Abstract

As a critical system of rail train, the train communication network (TCN) is an integrated central platform that is used to realize the train operation control, condition monitoring, and data transmission. With the development of train intelligence, the scale of data flow in TCN continues to expand, and the control data and monitoring data must be real-time transmitted to ensure the safe and reliable operation of the train. Time-sensitive network (TSN) can be applied as the next-generation TCN solution, which provides end-to-end data transmission with extremely low delay and high reliability based on Ethernet. For the application of TSN technology in TCN, a single frame simple scheduling method is proposed to effectively reduce the worst end-to-end delay of the entire network, which improve the real-time performance of TSN-based TCN. The network topology and data flow characteristics in TCN are analyzed, a series of scheduling constraints are constructed, and the satisfiability modulo theories (SMT) is used to obtain a gate control list (GCL) to ensure the real-time performance of time-trigger streams. Finally, the TCN simulation model is established using OMnet++ software, the experiment results show that the proposed method can effectively reduce the overall delay and jitter, and meet the real-time requirement of TCN. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.