Modeling and Traffic Scheduling Problems for In-Vehicle Time-Sensitive Network Communication Architectures

Ya Wen, Xudong Zhang*, Yuan Zou, Wenjing Sun, Yifan Shang, Xiaolong Yang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The traffic scheduling problems of in-vehicle electronic and electrical architectures are closely related to the reliability and real-time performance of in-vehicle communication. In order to solve the application problem of time-sensitive network (TSN) communication in the actual vehicle scene, a method of establishing the vehicle time sensitive network model is proposed. A traffic scheduling strategy based on the time shaping mechanism (TAS) is designed for the transmission of multiple types of information flows in the network architecture, and a low-latency and highly reliable traffic scheduling scheme is obtained by using a genetic algorithm. Finally, the feasibility of the scheduling strategy is demonstrated through simulation experiments.

Original languageEnglish
Title of host publication2023 8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1905-1908
Number of pages4
ISBN (Electronic)9798350302455
DOIs
Publication statusPublished - 2023
Event8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023 - Hybrid, Xi�an, China
Duration: 21 Apr 202323 Apr 2023

Publication series

Name2023 8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023

Conference

Conference8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023
Country/TerritoryChina
CityHybrid, Xi�an
Period21/04/2323/04/23

Keywords

  • Communication Latency
  • Genetic Algorithm
  • Time-Sensitive Network
  • Traffic Scheduling

Fingerprint

Dive into the research topics of 'Modeling and Traffic Scheduling Problems for In-Vehicle Time-Sensitive Network Communication Architectures'. Together they form a unique fingerprint.

Cite this