Optimal congestion management in network routers subject to constraints, disturbances, and noise using the model predictive control approach

A predictive queue management method is proposed for constrained congestion control in internet routers in the face of communication delays. The proposed method uses the queue and router models, input traffic rate, and queue length to precisely characterise the entire process. The model that has bee...

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Bibliographic Details
Published inIET cyber-physical systems Vol. 9; no. 3; pp. 258 - 268
Main Authors Nasiri, Bijan, Bayat, Farhad, Mohammadkhani, MohammadAli, Bartoszewicz, Andrzej
Format Journal Article
LanguageEnglish
Published Southampton John Wiley & Sons, Inc 01.09.2024
Wiley
Subjects
adaptive control
Algorithms
Approximation
Bandwidths
Behavior
Constraints
Control methods
Control theory
Controllers
Disturbances
information technology
Linear programming
Methods
Noise prediction
nonlinear control systems
Predictive control
Queuing theory
Routers
System theory
TCP (protocol)
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ISSN2398-3396
2398-3396
DOI10.1049/cps2.12081

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Summary:A predictive queue management method is proposed for constrained congestion control in internet routers in the face of communication delays. The proposed method uses the queue and router models, input traffic rate, and queue length to precisely characterise the entire process. The model that has been built is then used to construct an optimal constrained active queue management (CAQM) strategy using the model predictive control method. Important factors, such as link capacity, Transmission Control Protocol (TCP) sessions, round‐trip time, and a few others, have been selected and used to linearise the interconnection of TCP. Then, an efficient MPC‐based structure to manage the CAQM in the face of unknown disturbances is designed. Simulations are used to validate the proposed method's effectiveness and robustness.
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ISSN:2398-3396
2398-3396
DOI:10.1049/cps2.12081