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

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dc.creatorOkokpujie, Kennedy O., Emmanuel, Chukwu, Shobayo, Olamilekan, Noma-Osaghae, Etinosa, Okokpujie, Imhade P.
dc.date2019
dc.date.accessioned2025-04-15T11:27:59Z
dc.descriptionThis 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.
dc.formatapplication/pdf
dc.identifierhttp://eprints.covenantuniversity.edu.ng/17618/
dc.identifier.urihttps://repository.covenantuniversity.edu.ng/handle/123456789/48336
dc.languageen
dc.subjectT Technology (General), TJ Mechanical engineering and machinery
dc.titleComparative analysis of the performance of various active queue management techniques to varying wireless network conditions
dc.typeArticle

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