Comparative analysis of the performance of various active queue management techniques to varying wireless network conditions

Okokpujie Kennedy (Covenant University)
Emmanuel Chukwu (Covenant University)
Olamilekan Shobayo (Covenant University)
Etinosa Noma-Osaghae (Covenant University)
Imhade Okokpujie (Covenant University)
Modupe Odusami (Covenant University)

International Journal of Electrical and Computer Engineering
Vol 9, No 1: February 2019

This paper demonstrates the robustness of active queue management techniques to varying load, link capacity and propagation delay in a wireless environment. The performances of four standard   controllers used in Transmission Control Protocol/Active Queue Management (TCP/AQM) systems were compared. The active queue management controllers were the Fixed-Parameter Proportional Integral (PI), Random Early Detection (RED), Self-Tuning Regulator (STR) and the Model Predictive Control (MPC). The robustness of the congestion control algorithm of each technique was documented by simulating the varying conditions using MATLAB® and Simulink® software. From the results obtained, the MPC controller gives the best result in terms of response time and controllability in a wireless network with varying link capacity and propagation delay. Thus, the MPC controller is the best bet when adaptive algorithms are to be employed in a wireless network environment. The MPC controller can also be recommended for heterogeneous networks where the network load cannot be estimated.