<scp>TRA</scp> ‐ <scp>TSN</scp> : The Traffic Relationship Analysis Method of Time‐Triggered Traffic in Time‐Sensitive Networks

ABSTRACT Time‐Sensitive Networking (TSN) is the enhanced Ethernet technology dedicated to real‐time communication in future industrial networks. Traffic conflicts are a crucial in TSN as they directly influence routing and scheduling required for deterministic communication. Traffic relationships are essential for optimal scheduling algorithms and have yet to be thoroughly investigated for utilization in the design of scheduling algorithms. This letter analyzes the traffic scheduling and conflict generation process, and proposes TRA‐TSN, a traffic relationship analytics engine for capturing traffic features and relationships. Futhermore, the scheduling algorithms RSI‐SA and AMC‐SOA are designed to efficiently generate scheduling decisions for time‐triggered traffic. Simulation results verify the significant impact of the traffic conflict problem on scheduling and the effectiveness of our proposed algorithms.

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Publication Details

Journal
Internet Technology Letters
Published
2026-06-08
DOI
https://doi.org/10.1002/itl2.70280
Primary Topic
Network Time Synchronization Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

TRA ‐ TSN : The Traffic Relationship Analysis Method of Time‐Triggered Traffic in Time‐Sensitive Networks

Hongrui Nie, Yi Zhou, Xinyue Zhang, Guowei Li et al.
Internet Technology Letters
Network Time Synchronization Technologies
article

TRA ‐ TSN : The Traffic Relationship Analysis Method of Time‐Triggered Traffic in Time‐Sensitive Networks

Hongrui Nie, Yi Zhou, Xinyue Zhang, Guowei Li, Luda Wang, Rongzhen Xie
article en

Abstract

ABSTRACT Time‐Sensitive Networking (TSN) is the enhanced Ethernet technology dedicated to real‐time communication in future industrial networks. Traffic conflicts are a crucial in TSN as they directly influence routing and scheduling required for deterministic communication. Traffic relationships are essential for optimal scheduling algorithms and have yet to be thoroughly investigated for utilization in the design of scheduling algorithms. This letter analyzes the traffic scheduling and conflict generation process, and proposes TRA‐TSN, a traffic relationship analytics engine for capturing traffic features and relationships. Futhermore, the scheduling algorithms RSI‐SA and AMC‐SOA are designed to efficiently generate scheduling decisions for time‐triggered traffic. Simulation results verify the significant impact of the traffic conflict problem on scheduling and the effectiveness of our proposed algorithms.

Internet Technology LettersVol. 9(4)
Institute of Computing Technology (CN)
Openalex Percentile: Top 4%
Network Time Synchronization Technologies
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<scp>TRA</scp> ‐ <scp>TSN</scp> : The Traffic Relationship Analysis Method of Time‐Triggered Traffic in Time‐Sensitive Networks — Hongrui Nie, Yi Zhou, et al. · Internet Technology Letters (2026) | TGRS Research Map | TGRS