Authors
Control & System Engineering Dept, University of Technology, Baghdad, Iraq.
Abstract
today The topic of contention is the quality of computer network
service. Efficient data handling is important. Each router offers a buffer space
where packets can be held before being sent until they are processed. The
theory of packet congestion control is TCP (Transmission Control Protocol)
.(AQM) is a mechanism proposed for gateways to improve congestion
management. AQM (active queue management) is a crucial to minimize packet
loss in TCP/IP networks and improving network efficiency. This paper offers a
hybrid intelligent (PID) with type1 fuzzy logic controller which is designed to
decrease network congestion. As a router (AQM), social spider optimization
(SSO) is used to tune the control parameters used to reduce queue size error.
The designed controller based on SSO algorithm provides a good tracking
performance for AQM desired value.The observational findings indicated a
high-performance increase in the proposed process. In MATLAB(R2020a), a
simulation of a linearized TCP/AQM model is presented. NS2 is used to perform
verification for the fuzzy logic controllers for the nonlinear TCP/AQM model
under a more practical simulation and to analyze and examine network
behavior in different scenarios.
Keywords
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