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Achieving Deterministic Communication for In-Vehicle Networks with Software-Defined Time-Sensitive Networking

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DOI: 10.23977/acss.2026.100117 | Downloads: 11 | Views: 236

Author(s)

Chenming Jiang 1, Yuan Zhu 1, Binqi Li 1

Affiliation(s)

1 College of Automotive and Energy Engineering, Tongji University, No. 4800 Caoan Road, Shanghai, China

Corresponding Author

Binqi Li

ABSTRACT

To achieve more advanced functionalities, there is a growing demand within automotive computing platforms for deterministic and reliable data transmission. Time-Sensitive Networking (TSN) is the most promising candidate to meet this demand by leveraging IEEE 802.1 Ethernet standards, which include mechanisms such as time synchronization, traffic shaping, and low-latency forwarding. This paper explores the implementation of Software-Defined Time-Sensitive Networking (SD-TSN) to achieve deterministic communication for in-vehicle networks. Typically, complex configurations involving routing and scheduling of switches are necessary to deploy TSN. SD-TSN can offer a flexible and programmable approach to network management, enabling precise control over timing constraints and quality of service (QoS) parameters. Firstly, data transmission requirements are gathered by the centralized user configuration (CUC) module to acquire traffic information. Subsequently, the centralized network configuration (CNC) module transforms the computed results of routing and scheduling into YANG model and deploys them. Finally, the automotive TSN switches can complete local configuration by parsing the received configuration messages. Through a detailed analysis and experimental validation, this study demonstrates the effectiveness of the SD-TSN architecture in enhancing deterministic communication for in-vehicle networks.

KEYWORDS

Time-Sensitive Networking, Software-Defined Networking, Deterministic Communication

CITE THIS PAPER

Chenming Jiang, Yuan Zhu, Binqi Li. Achieving Deterministic Communication for In-Vehicle Networks with Software-Defined Time-Sensitive Networking. Advances in Computer, Signals and Systems (2026). Vol. 10, No. 1, 137-150. DOI: http://dx.doi.org/10.23977/acss.2026.100117.

REFERENCES

[1] Zhang, Chengmin, et al. "Deterministic communications for in-vehicle network: Overview and challenges." 2021 2nd International Conference on Artificial Intelligence and Information Systems. 2021.
[2] Zhu, Hailong, et al. "Requirements-driven automotive electrical/electronic architecture: a survey and prospective trends." IEEE Access 9 (2021): 100096-100112.
[3] Craciunas, Silviu S., et al. "Scheduling real-time communication in IEEE 802.1 Qbv time sensitive networks." Proceedings of the 24th International Conference on Real-Time Networks and Systems. 2016.
[4] Schweissguth, Eike, et al. "ILP-based joint routing and scheduling for time-triggered networks." Proceedings of the 25th International Conference on Real-Time Networks and Systems. 2017.
[5] "IEEE Standard for Local and Metropolitan Area Networks–Bridges and Bridged Networks – Amendment 31: Stream Reservation Protocol (SRP) Enhancements and Performance Improvements," in IEEE Std 802.1Qcc-2018 (Amendment to IEEE Std 802.1Q-2018 as amended by IEEE Std 802.1Qcp-2018). pp.1-208, 31 Oct. 2018.
[6] Luo Kun, Research and Implementation of Time-Sensitive Networking Configuration Management Based on IEEE 802.1Qcc[D]. Chinese Master's Theses Full-text Database, 2021.
[7] Balasubramanian, Venkatraman, Moayad Aloqaily, and Martin Reisslein. "An SDN architecture for time sensitive industrial IoT." Computer Networks 186 (2021): 107739.
[8] Xue, Junli, et al. "Enabling deterministic communications for end-to-end connectivity with software-defined time-sensitive networking." IEEE Network 36.2 (2022): 34-40.
[9] M. Bornemann, Zone Controllers Build Bridge to Tomorrow's Technology, 2021. https://www.aptiv.com/docs/default-source/white-papers/2021_aptiv_whitepaper_zonecontroller.pdf.
[10] W. Brinkkötter, P. Brucker, Solving open benchmark instances for the job-shop problem by parallel head–tail adjustments, Journal of Scheduling 4 (2001) 53–64.

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