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

Okokpujie, Kennedy O. and Emmanuel, Chukwu and Shobayo, Olamilekan and Noma-Osaghae, Etinosa and Okokpujie, Imhade P. (2019) Comparative analysis of the performance of various active queue management techniques to varying wireless network conditions. International Journal of Electrical and Computer Engineering (IJECE), 9 (1). pp. 359-368. ISSN 2088-8708

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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.

Item Type:	Article
Uncontrolled Keywords:	Active queue management(AQM) Vary link capacity Varying network load Varying propagation delay
Subjects:	T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery
Divisions:	Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User:	AKINWUMI
Date Deposited:	17 Nov 2023 10:28
Last Modified:	17 Nov 2023 10:28
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/17618

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