Design and implementation of a stability control system for TCP/AQM network

Shneen, Salam Waley; Sulttan, Mohammed Qasim; Oudah, Manal K.

doi:10.11591/ijeecs.v22.i1.pp129-136

Cited by 4 publications

(3 citation statements)

References 45 publications

(46 reference statements)

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“…The internet contains routers, and one of its tasks is to store data or packets, i.e., put an active queue management (AQM) queue before conducting [16]. The routing process after the required path is available, which includes through an algorithm that fits its work [17].…”

Section: Introductionmentioning

confidence: 99%

Simulation model of ACO, FLC and PID controller for TCP/AQM wireless networks by using MATLAB/Simulink

Awad

Oudah

Enaya

et al. 2023

IJECE

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<span lang="EN-US">The current work aims to develop a suitable design for control systems as part of a queue management system using the transmission control protocol/and active queue management (TCP/AQM) protocol to handle the expected congestion in the network. The research also aims to make a comparison between the different control methods, including the traditional proportional integral derivative (PID) and the expert fuzzy logic control (FLC), as well as the optimal ant colony optimization (ACO) that is used according to the performance improvement criteria to reach the best values for parameters the traditional controller (kd, ki, k p), where the addition of the performance indicator time-weighted absolute error (ITAE) was adopted. The use of this method without any other optimization algorithm that can be applied to adjust the parameters of the PID to verify the possibility of improving performance and enhance that with experience and to know the level of improvement for this particular system being the subject of the study. The results showed the superiority of the optimal ACO over both the FLC expert and the conventional PID, as well as the superiority of the FLC expert over the traditional PID.</span>

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Section: Introductionmentioning

confidence: 99%

Simulation model of ACO, FLC and PID controller for TCP/AQM wireless networks by using MATLAB/Simulink

Awad

Oudah

Enaya

et al. 2023

IJECE

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“…The reason for this is the large number of data as a result of the large number of users, which causes congestion resulting from the waiting list [7]- [9]. Multiple transmitting sources make the network congested, in addition to multiple receiving sources, speed and time are among the factors involved in evaluating the size or smallness of the problem [10]- [12]. Various methodologies have been developed to deal with all the problems and to control congestion caused by overload on the network [13]- [15].…”

Section: Introductionmentioning

confidence: 99%

Flower Pollination Algorithm to Tune PID Controller of TCP/AQM Wireless Networks

Eissa¹,

Shneen²,

Ali³

2023

Journal of Robotics and Control

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The current study aims to conduct a simulation that is useful in developing an appropriate design that addresses the problem of congestion in the Internet network through controlling the queue of the router. The simulation is conducted through the proposed model for simulation with different control systems that help in raising the quality of performance such as traditional Proportional Integral Derivative (PID) and advanced optimal by Flower Pollination Algorithm (FPA). It depends for Transmission Control Protocol/ Active Queue Management( TCP/AQM )simulation model for a linear system and another non-linear system. To adjust the network work and raise the level of performance, different control systems were chosen, taking into account all the things that appear through conducting experiments and for different purposes. One of the most important things that must be taken into consideration is the system disturbances as a result of the volume and values of the data, causing congestion . It was shown through the results of the experiments that were conducted considering the cases of the linear and nonlinear system to pass data traffic in the network and by adopting the different techniques of the control units, the preference of optimizasion systems over the traditional ones, as well as the preference of the traditional over without control in close loop, is the improvement of the performance of linear systems compared to the open and closed system without control. The simulation results showed that very clear the superiority of the optimization by FPA-PID controller over the conventional system (PID) , as well as very clear the superiority of the traditional system (PID)over closed system without control and open loop system.

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“…The experimental results showed that GAC and FLC were more accurate and efficient than PIDC. The work depended on FSMC and GAs to control an AQM network to improve computer network performance by providing effective queue management [27]. Some studies have been conducted that simulated the adoption of non-linear systems, which is important in order to improve work performance by using traditional and expert control methods, which enables the researchers to control system behavior and obtain a balance with the changes in the operation of the system [24].…”

Section: Introductionmentioning

confidence: 99%

Simulation Model of Enhancing Performance of TCP/AQM Networks by Using Matlab

Aziz

Jaber

Sulttan

et al. 2022

J. Eng. Technol. Sci.

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Internet networks are becoming more crowded every day due to the rapid development of modern life, which causes an increase in the demand for data circulating on the Internet. This creates several problems, such as buffer overflow of intermediate routers, and packet loss and time delay in packet delivery. The solution to these problems is to use a TCP/AQM system. The simulation results showed that there were differences in performance between the different controllers used. The proposed methods were simulated along with the required conditions in nonlinear systems to determine the best performance. It was found that the use of optimization Department of Electro-mechanical Engineering, University of Technology - Iraq tools (GA, FL) with a controller could achieve the best performance. The simulation results demonstrated the ability of the proposed methods to control the behavior of the system. The controller systems were simulated using Matlab/Simulink. The simulation results showed that the performance was better with the use of GA-PIDC compared to both FL-PIDC and PIDC in terms of stability time, height, and overrun ratio for a network with a variable queue that was targeted for comparison. The results were: the bypass ratio was 0, 3.3 and 21.8 the settling time was 0.002, 0.055, and 0.135; and the rise time was 0.001, 0.004 and 0.008 for GA-PIDC, FL-PIDC and PIDC, respectively. These results made it possible to compare the three control techniques.

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Design and implementation of a stability control system for TCP/AQM network

Cited by 4 publications

References 45 publications

Simulation model of ACO, FLC and PID controller for TCP/AQM wireless networks by using MATLAB/Simulink

Simulation model of ACO, FLC and PID controller for TCP/AQM wireless networks by using MATLAB/Simulink

Flower Pollination Algorithm to Tune PID Controller of TCP/AQM Wireless Networks

Simulation Model of Enhancing Performance of TCP/AQM Networks by Using Matlab

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