车载时间敏感网络路径规划算法研究

Translated title of the contribution: Research on Path Planning Algorithms for In-Vehicle Time-Sensitive Networks

Xudong Zhang*, Ya Wen, Yingqun Liu, Yuan Zou, Wenjing Sun, Ziyan Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

With the rapid development of the electronic and electrical architecture of intelligent and con- nected vehicles,the demand for real-time reliability in in-vehicle communication networks has significantly in- creased. In this context,Time-Sensitive Networking(TSN)has become a critical technology to meet the demand. In this paper,the implementation of the IEEE 802.1CB protocol in vehicular networks is realized,filling the gap in current research regarding the combined use of link redundancy transmission and routing planning. An innovative multi-path routing strategy is proposed which balances network efficiency and reliability through dual-path transmis- sion involving both primary and redundant paths. The core contribution of this study includes:(1)a novel NSGA2-based primary path routing algorithm,which achieves the dual objectives of load balancing and low latency through intelligent path planning,and(2)an improved Dijkstra-based redundant path routing algorithm,which ensures high-reliability transmission for information flows with varying priority levels. Finally,a hardware-software integrat- ed experimental framework is proposed,demonstrating that the proposed algorithms outperform existing comparison algorithms by 18.19% to 62.29% in terms of load balancing and end-to-end latency,while also enhancing network reliability by 19.18% to 42.87%.

Translated title of the contributionResearch on Path Planning Algorithms for In-Vehicle Time-Sensitive Networks
Original languageChinese (Traditional)
Pages (from-to)391-401 and 411
JournalQiche Gongcheng/Automotive Engineering
Volume47
Issue number3
DOIs
Publication statusPublished - 25 Mar 2025

Fingerprint

Dive into the research topics of 'Research on Path Planning Algorithms for In-Vehicle Time-Sensitive Networks'. Together they form a unique fingerprint.

Cite this