Abstract

The delay in delivering packets and packets loss in computer networks is due to the problem of congestionin TCP/ AQM routers, and to solve this problem, the transmission control protocol and active queue managementworked together. TCP provides secure data transfer and designed to handle congestion after its occurrence. AQMpredicts congestion and tries to resolve the problem before it occurs. In this work, the Fuzzy- PID (FPID) controller ispresented to manage the avoidance of congestion problems associated with TCP networks. The approach is based onhybridization between the Fuzzy Logic Controller (FLC) and the Proportional-Integral-Derivative(PID) controller,with the structure of Fuzzy Set- Point- Wight(FSW) for PID controller that optimized by Antlion Optimizer(ALO)using a linearized TCP congestion model. The target is to control the queue length of the router for the queuelevel in demand. The FPID controller shows good robustness for different scenario of the TCP network and thequeue length response showed fast tracking capability with good robustness to network parameters changing incomparison of using PID controller. All simulations are carried out using MATLAB 2017b.

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The article was added to IASJ on 2020-05-07

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