Congestion tracking control of multi-bottleneck TCP networks with input-saturation and dead-zone

Yanxin Li; Shangkun Liu; Jia Li; Weimin Zheng; Yanxin Li; Shangkun Liu; Jia Li; Weimin Zheng

doi:10.3934/math.2024535

AIMS Mathematics

2024, Volume 9, Issue 5: 10935-10954. doi: 10.3934/math.2024535

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Research article Special Issues

Congestion tracking control of multi-bottleneck TCP networks with input-saturation and dead-zone

Shandong University of science and technology, Qingdao 266590, Shandong, China

Received: 14 January 2024 Revised: 07 March 2024 Accepted: 11 March 2024 Published: 20 March 2024
MSC : 93D20

This paper discusses the congestion control challenges in a network employing multi-bottleneck Transmission Control Protocol/Active Queue Management (TCP/AQM). The study specifically focuses on networks characterized by input nonlinearity and unknown disturbances. We regard the network as a whole, and consider the influence between multiple nodes and unknown disturbance, a dynamic model of multi-bottleneck network is established. And the impact of dead zone and saturation on the system is taken into account for the first time in the model, the builded TCP/AQM model is more practicable. Based on the characteristics of fuzzy logic systems (FLS), combined with backstepping technology and Lyapunov function, an adaptive congestion control algorithm is designed to make full use of the link resources of each node and improve the network utilization. Ultimately, the proposed algorithm's efficacy and superiority are substantiated through simulation.
- TCP/AQM system,
- congestion control,
- multiple bottleneck,
- dead-zone
Citation: Yanxin Li, Shangkun Liu, Jia Li, Weimin Zheng. Congestion tracking control of multi-bottleneck TCP networks with input-saturation and dead-zone[J]. AIMS Mathematics, 2024, 9(5): 10935-10954. doi: 10.3934/math.2024535

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Abstract

This paper discusses the congestion control challenges in a network employing multi-bottleneck Transmission Control Protocol/Active Queue Management (TCP/AQM). The study specifically focuses on networks characterized by input nonlinearity and unknown disturbances. We regard the network as a whole, and consider the influence between multiple nodes and unknown disturbance, a dynamic model of multi-bottleneck network is established. And the impact of dead zone and saturation on the system is taken into account for the first time in the model, the builded TCP/AQM model is more practicable. Based on the characteristics of fuzzy logic systems (FLS), combined with backstepping technology and Lyapunov function, an adaptive congestion control algorithm is designed to make full use of the link resources of each node and improve the network utilization. Ultimately, the proposed algorithm's efficacy and superiority are substantiated through simulation.

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