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.

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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
    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: 07 Jun 2022 14:46
    URI: https://shura.shu.ac.uk/id/eprint/29799

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