Affiliation:
1. Department of Engineering University of Zanjan Zanjan Iran
2. Department of Electrical Engineering Technical and Vocational University Tehran Iran
3. Faculty of Electrical, Electronic, Computer and Control Engineering Institute of Automatic Control Lodz Poland
Abstract
AbstractA 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.
Publisher
Institution of Engineering and Technology (IET)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems