Grey Wolf Algorithm Based Pid Controller for Congestion Avoidance in Tcp Network

In TCP networks, Active Queue Management (AQM) is used by the edge routers to network congestion and regulate the router queue length to prevent packets loss. In this study, the Grey Wolf Optimizer is deployed as a novel active queue management for optimal tuning PID controller gains to control network routers congestion, guarantee a low rate of packet loss, ensure a stable queue length, and avoid network congestion. Furthermore, the robustness of the proposed controller is analyzed and benchmarked against a classical Proportional 1-Integral (PI) controller through MATLAB simulation experiments. The results show the proposed GWO-PID controller to be stable and achieve a faster response in dynamic environments with fluctuating round trip time and network traffic.