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