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Imhade Okokpujie
Covenant University
Computer Science & IT Electrical & Electronics Engineering

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Comparative analysis of the performance of various active queue management techniques to varying wireless network conditions Okokpujie Kennedy; Emmanuel Chukwu; Olamilekan Shobayo; Etinosa Noma-Osaghae; Imhade Okokpujie; Modupe Odusami
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 1: February 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (873.805 KB) | DOI: 10.11591/ijece.v9i1.pp359-368

Abstract

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.
Co-Authors Emmanuel Chukwu Etinosa Noma-Osaghae Modupe Odusami Okokpujie Kennedy Olamilekan Shobayo