Improving TCP/AQM Network Stability Using BBO-Tuned FLC
(1) * Rasha F. Nadhim Mail (University of Technology, Iraq)
(2) Manal Kadhim Oudah Mail (University of Technology, Iraq)
(3) Ghada Adel Aziz Mail (University of Technology, Iraq)
(4) Salam Waley Shneen Mail (University of Technology, Iraq)
*corresponding author

Abstract


One of the modern technologies used to improve the performance of various systems, including communications networks and the Internet, is the technology based on biogeography (BBO) that many researchers in the field of automation and control have shed light on. Fuzzy logic is one of the expert systems that has dealt with its use in control systems by many researchers within different applications. The current work has shed light on the mechanism of using The Biogeography Based-Optimization (BBO) technique for adjusting FLC parameters is called (BBO-FLC). The simulation was performed using Matlab program and the researchers adopted the technique as part of the stability of TCP network. The performance of the techniques used in the optimization process can be identified by comparing the results of each case, such as the proposed technique, with other types represented by the traditional control type Proportional–integral–derivative controller (PID). The possibility of using modern and intelligent optimization techniques for the optimal controller is tested using a tuning process for the parameters of the fuzzy type expert controller with the help of the biogeography-based optimization (BBO) technique. The contributions of the research are to verify the possibility of improving the performance by comparing the behavior of the system for the proposed test and simulation cases by obtaining the prescribed level and without exceeding the permissible values.

Keywords


TCP Network; PID; Fuzzy Logic Control; Genetic Algorithm; BBO

   

DOI

https://doi.org/10.31763/ijrcs.v5i2.1761 		      

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