Home Journals Articles Updates About
CN
image
收藏切换
Research on Traffic Scheduling Strategies and Improved Algorithms for In-Vehicle Time-Sensitive Networks
收藏切换
PDF
Xudong Zhang1, 2, Ya Wen1, 2, Yuan Zou1, 2, Wenjing Sun1, 2, Zhaolong Zhang3, Fengmin Tang4, Weiguo Liu4, 5
Automotive Engineering | 2024, 46(1) : 75 - 83
Less
收藏切换
Automotive Engineering | 2024, 46(1): 75-83
• Selected Papers •
Research on Traffic Scheduling Strategies and Improved Algorithms for In-Vehicle Time-Sensitive Networks
Full
Xudong Zhang1, 2, Ya Wen1, 2, Yuan Zou1, 2, Wenjing Sun1, 2, Zhaolong Zhang3, Fengmin Tang4, Weiguo Liu4, 5
Affiliations
  • 1 School of Mechanical Engineering，Beijing Institute of Technology，Beijing　 100081
  • 2 Beijing Institute of Technology，National Engineering Research Center for Electric Vehicles，Beijing　 100081
  • 3 Beijing Electric Vehicle Co.，Ltd.，Beijing　 100176
  • 4 National Innovation Center of Intelligent and Connected Vehicles，Beijing　 100176
  • 5 Zhejiang University，Hangzhou　 310058
Published: 2024-01-25 doi: 10.19562/j.chinasae.qcgc.2024.01.008
Outline
收藏切换

The traffic scheduling problem in timesensitive networking (TSN) of automotive electrical and electronic architecture is investigated in this paper. To meet practical application requirements, a method for establishing the topology of invehicle TSN network is proposed. To address the multitype traffic scheduling problem in the network, a traffic scheduling strategy based on the TimeAware Shaper (TAS) mechanism is proposed, and the corresponding mathematical model is established, to reduce the total network delay while considering both the time sensitivity of highpriority traffic and the data integrity of lowpriority traffic. To solve the problems of unstable solution efficiency caused by the complex information flow forwarding process in the model and the difficulty of optimization caused by numerous traffic scheduling solutions, an improved genetic algorithm (IGA) is proposed which is optimized from the aspects of setting adaptive crossover probability formula, introducing in taboo search mutation, and combining multiple populations. The experimental results show that the proposed algorithm improves the optimality by 43.47% in endtoend latency optimization and the solution generation stability by 76.96%. The algorithm can obtain lowlatency and highreliability traffic scheduling solutions for invehicle TSN. The research findings of this paper provide insights for the study of intelligent connected vehicles and the optimization of invehicle network communication algorithms.

time-sensitive network（TSN）  /  traffic scheduling  /  genetic algorithm  /  taboo search
Xudong Zhang, Ya Wen, Yuan Zou, Wenjing Sun, Zhaolong Zhang, Fengmin Tang, Weiguo Liu. Research on Traffic Scheduling Strategies and Improved Algorithms for In-Vehicle Time-Sensitive Networks[J]. Automotive Engineering, 2024 , 46 (1) : 75 -83 . DOI: 10.19562/j.chinasae.qcgc.2024.01.008
Appendix
Less
Year 2024 volume 46 Issue 1
PDF
275
107
Cite this Article
BibTeX
Article Info
doi: 10.19562/j.chinasae.qcgc.2024.01.008
  • Receive Date：2023-03-26
  • Online Date：2025-07-20
  • Published：2024-01-25
Article Data
Affiliations
History
  • Received：2023-03-26
  • Revised：2023-07-19
Funding
Affiliations
    1 School of Mechanical Engineering，Beijing Institute of Technology，Beijing　 100081
    2 Beijing Institute of Technology，National Engineering Research Center for Electric Vehicles，Beijing　 100081
    3 Beijing Electric Vehicle Co.，Ltd.，Beijing　 100176
    4 National Innovation Center of Intelligent and Connected Vehicles，Beijing　 100176
    5 Zhejiang University，Hangzhou　 310058
References
Share
https://castjournals.cast.org.cn/joweb/qcygc/EN/10.19562/j.chinasae.qcgc.2024.01.008
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House