SDN-Based Management for Master Clocks in Automotive Time-Sensitive Networking

With the increasing communication requirements of autonomous driving, time-sensitive networking (TSN) has become the most promising next-generation automotive Ethernet communication technology. To improve the efficiency of master clock selection and reconstruction, a management algorithm for master clocks based on software-defined networking (SDN) in automotive time-sensitive networking is proposed. The simulation results demonstrate that the proposed algorithm shows a 50% higher efficiency in selecting the initial master clock and a 66.7% higher efficiency in reconstructing the master clock. Furthermore, it significantly enhances the reliability of clock synchronization in automotive time-sensitive networking.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.043
Primary Topic
Network Time Synchronization Technologies
Type
article
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SDN-Based Management for Master Clocks in Automotive Time-Sensitive Networking

Weigang Shi, Hailong Zhu, Li Liu, Zhiheng Li et al.
Network Time Synchronization Technologies
article

SDN-Based Management for Master Clocks in Automotive Time-Sensitive Networking

Weigang Shi, Hailong Zhu, Li Liu, Zhiheng Li, Mengxue Guo, Kai Zhang
article en

Abstract

With the increasing communication requirements of autonomous driving, time-sensitive networking (TSN) has become the most promising next-generation automotive Ethernet communication technology. To improve the efficiency of master clock selection and reconstruction, a management algorithm for master clocks based on software-defined networking (SDN) in automotive time-sensitive networking is proposed. The simulation results demonstrate that the proposed algorithm shows a 50% higher efficiency in selecting the initial master clock and a 66.7% higher efficiency in reconstructing the master clock. Furthermore, it significantly enhances the reliability of clock synchronization in automotive time-sensitive networking.

Beijing University of Posts and Telecommunications (CN), Tsinghua University (CN)
Openalex Percentile: Top 74%
Network Time Synchronization Technologies
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