App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 8

Multi-strategy traffic scheduling algorithm for TSN

Du Juana
Wang Chenga
Shi Wenyaa
Huan Zhanb
a. School of Computer Science and Artificial Intelligence, b. Wang Zheng School of Microelectronics & School of Integrated Circuit Industry, Changzhou University, Changzhou Jiangsu 213159, China
DOI: 10.19734/j.issn.1001-3695.2025.12.0520

Abstract

Cyclic queuing and forwarding (CQF) is one of the most representative methods for achieving deterministic forwarding in Time-Sensitive Networking (TSN) . However, traditional CQF scheduling requires offset searches for each flow and rollbacks of assigned results when scheduling conflicts occur, which introduces considerable computational overhead. To address this issue, this study proposes a multi-strategy traffic scheduling algorithm, MSTD3S (mapping score-based twin delayed deep deterministic policy gradient scheduling) . This multi-strategy approach integrates three core modules: mapping score-based pre-filtering, GCN-based global awareness, and PSO-optimized multi-objective rewards. By combining the mapping score with the TD3 framework, the algorithm pre-filters scheduling combinations, cuts down on invalid scheduling actions, and minimizes traversal and rollback operations. It incorporates Graph Convolutional Networks (GCN) to perceive the network environment, and thus reflects link congestion status and path resource allocation dynamics. To boost the algorithm’s performance, this study designs a multi-dimensional reward function that integrates scheduling success rate, resource distribution variance, mapping scores and delay penalties. Simulation results demonstrate that MSTD3S outperforms traditional CQF scheduling in scheduling success rate, resource utilization and load balancing, while significantly reducing computational overhead. Through the synergistic effects of its multi-strategy components, MSTD3S effectively elevates the overall performance of traffic scheduling in TSN scenarios.

Foundation Support

国家自然科学基金项目(12201075)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.12.0520
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 8

Publish History

[2026-04-22] Accepted Paper

Cite This Article

杜娟, 王澄, 时文雅, 等. 面向TSN的多策略流量调度算法 [J]. 计算机应用研究, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.12.0520. (Du Juan, Wang Cheng, Shi Wenya, et al. Multi-strategy traffic scheduling algorithm for TSN [J]. Application Research of Computers, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.12.0520. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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