Fuzzy PID Congestion Control Based on African Buffalo Optimization in Computer Network

Abstract

The efficiency of computer networks is essential to modern information services technology, there are several problems that come with it, including the congestion issue. Some congestion issues in the intermediate routers lead to packet time delays, packet losses, and buffer overflows. In order to solve this issue Transmission Control Protocol and Active Queue Management (TCP/AQM) have been used. Bypassing or discarding packets at the intermediate routers, AQM is crucial for controlling the length of the queue. In this study, the Fuzzy-PID (FPID) controller is designed to desist the congestion in networks. The strategy is based on a hybridization between the Proportional-Integral-Derivative (PID) controller and the Fuzzy Logic Controller (FLC), optimized by African buffalo optimization (ABO).Simulation of a linearized model (TCP/AQM) is introduced in MATLAB (R2017b). The Fuzzy-PID controller's (FPID) results are compared with the PID controller based on African buffalo optimization algorithms in each controller, and the results of the comparisons indicate that FPID achieved the best results.