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Fusion: Practice and Applications
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Title

Controller Design for Congestion Avoidance Based on Several Optimization Techniques

  Ghufran abdulqader alhaddad 1 * ,   Anass yousif abass 2 ,   Nora Ahmed Mohammed 3

1  College of Engineering, Al-Qadisiyah University, Iraq
    (Ghufran@qu.edu.iq)

2  College of Medicine, Al-Qadisiyah University, Iraq
    (Anass.alkhalidi@qu.edu.iq)

3  College of Engineering, Al-Qadisiyah University, Iraq
    (Nora.mohammed@qu.edu.iq)


Doi   :   https://doi.org/10.54216/FPA.140123

Received: July 28, 2023 Revised: October 25, 2023 Accepted: December 22, 2023

Abstract :

The world has become more like a small community thanks to the internet, which connects millions of people, businesses, and pieces of technology for a variety of uses. Because of the significant influence these networks have on our lives, maintaining their efficiency is important, which necessitates addressing issues like congestion. In this study, PI-controller gains are adjusted using a variety of optimization strategies to regulate the nonlinear TCP/AQM model. This controller commits controlled pressured signaling characteristics and modifies computer network congestion. First manual tune PI-Controller are used; then several optimization techniques were used to tune PI-controller gains (Particle Swarm Optimization (PSO), Ant-Colony Optimization (ACO) and Simulated Annealing algorithm (SA)) and then Linear Quadratic Regulator theory are used.  To test the reliability and effectiveness of each of the suggested controllers, several tests utilizing varied network parameter values, different queue sizes, and extra disturbances were conducted. MATLAB was used for all experiments., the results show the superiority of the LQR controller over PI controller with both manual and optimal tuning techniques.

Keywords :

AQM; network congestion control; LQR; PSO; ACO; SA; PI controller.

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Cite this Article as :
Style #
MLA Ghufran abdulqader alhaddad , Anass yousif abass , Nora Ahmed Mohammed. "Controller Design for Congestion Avoidance Based on Several Optimization Techniques." Fusion: Practice and Applications, Vol. 14, No. 1, 2024 ,PP. 309-319 (Doi   :  https://doi.org/10.54216/FPA.140123)
APA Ghufran abdulqader alhaddad , Anass yousif abass , Nora Ahmed Mohammed. (2024). Controller Design for Congestion Avoidance Based on Several Optimization Techniques. Journal of Fusion: Practice and Applications, 14 ( 1 ), 309-319 (Doi   :  https://doi.org/10.54216/FPA.140123)
Chicago Ghufran abdulqader alhaddad , Anass yousif abass , Nora Ahmed Mohammed. "Controller Design for Congestion Avoidance Based on Several Optimization Techniques." Journal of Fusion: Practice and Applications, 14 no. 1 (2024): 309-319 (Doi   :  https://doi.org/10.54216/FPA.140123)
Harvard Ghufran abdulqader alhaddad , Anass yousif abass , Nora Ahmed Mohammed. (2024). Controller Design for Congestion Avoidance Based on Several Optimization Techniques. Journal of Fusion: Practice and Applications, 14 ( 1 ), 309-319 (Doi   :  https://doi.org/10.54216/FPA.140123)
Vancouver Ghufran abdulqader alhaddad , Anass yousif abass , Nora Ahmed Mohammed. Controller Design for Congestion Avoidance Based on Several Optimization Techniques. Journal of Fusion: Practice and Applications, (2024); 14 ( 1 ): 309-319 (Doi   :  https://doi.org/10.54216/FPA.140123)
IEEE Ghufran abdulqader alhaddad, Anass yousif abass, Nora Ahmed Mohammed, Controller Design for Congestion Avoidance Based on Several Optimization Techniques, Journal of Fusion: Practice and Applications, Vol. 14 , No. 1 , (2024) : 309-319 (Doi   :  https://doi.org/10.54216/FPA.140123)