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

OKOKPUJIE, K, EMMANUEL, C, SHOBAYO, Olamilekan, NOMA-OSAGHAE, E, OKOKPUJIE, I and ODUSAMI, Modupe (2019). Comparative analysis of the performance of various active queue management techniques to varying wireless network conditions. International Journal of Electrical and Computer Engineering, 9 (1), 359-368.

Preview

PDF Comparative_analysis_of_the_performance_of_various.pdf - Published Version Creative Commons Attribution Non-commercial Share Alike. Download (1MB) | Preview

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
Additional Information:	Acceptance date in hidden metadata
Identification Number:	https://doi.org/10.11591/ijece.v9i1.pp359-368
Page Range:	359-368
SWORD Depositor:	Symplectic Elements
Depositing User:	Symplectic Elements
Date Deposited:	07 Jun 2022 14:46
Last Modified:	12 Oct 2023 11:45
URI:	https://shura.shu.ac.uk/id/eprint/29799

Actions (login required)

View Item

Downloads

Publication Metrics