A Dynamic QoS Mapping Algorithm for 5G-TSN Converged Networks Based on Weighted Fuzzy C-Means and Three-Way Decision Theory

To ensure end-to-end Quality of Service (QoS) management in 5G-TSN converged networks, this paper proposes a dynamic weighted QoS mapping method based on Weighted Fuzzy C-Means and Three-Way Decisions (WFCM-TDwQM). The WFCM algorithm is employed to cluster Time-Sensitive Networking (TSN) flows based...

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Vydáno v:Sensors (Basel, Switzerland) Ročník 25; číslo 21; s. 6648
Hlavní autoři: Wu, Yuhang, Xu, Fangmin, Ning, Lina, Liu, Xiaokai, Chen, Hongyuan, Lu, Xingbo, Zhao, Chenglin
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland MDPI AG 30.10.2025
Témata:
Algorithms
Comparative analysis
Decision making
Flexibility
flow clustering
Interoperability
Linear programming
load balancing
Quality of service
quality of service (QoS) mapping
Spectrum allocation
three-way decisions
time-sensitive networking (TSN)
Wireless communications
Iran
China
time-sensitive networking (TSN)
5G
quality of service (QoS) mapping
flow clustering
load balancing
three-way decisions
ISSN:1424-8220, 1424-8220
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Shrnutí:To ensure end-to-end Quality of Service (QoS) management in 5G-TSN converged networks, this paper proposes a dynamic weighted QoS mapping method based on Weighted Fuzzy C-Means and Three-Way Decisions (WFCM-TDwQM). The WFCM algorithm is employed to cluster Time-Sensitive Networking (TSN) flows based on their QoS attributes, reducing computational complexity. A three-way decision-based method is used to assign a reasonable and approximate set of 5G QoS Identifier (5QI) values to each cluster. Finally, dynamic weights are adjusted by considering QoS similarity and the residual load rate, enabling the system to adapt to network load changes. The experimental results show that, compared with three other mapping algorithm combinations, WFCM-TDwQM not only ensures end-to-end QoS consistency but also achieves better load balancing under varying network loads. Moreover, its mapping performance is evaluated under different network scenarios.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s25216648