NDLI: Nonlinear Neural Network Congestion Control Based on Genetic Algorithm for TCP/IP Networks

Content Provider	IEEE Xplore Digital Library
Author	Rouhani, M. Tanhatalab, M.R. Shokohi-Rostami, A.
Copyright Year	2010
Abstract	Active Queue Management (AQM) has been widely used for congestion avoidance in TCP networks. Although numerous AQM schemes have been proposed to regulate a queue size close to a reference level as RED, PI controller, PID Controller, Adaptive prediction controller(APC) and neural network using the Back-Propagation (BP) most of them are incapable of adequately adapting to TCP network dynamics due to TCP’s non-linearity and time-varying stochastic properties. In this paper, we design a nonlinear neural network controller using the non-linear model of TCP network. Genetic algorithms are used to train the nonlinear neural controller. We evaluate the performances of the proposed neural network AQM approach via simulation experiments. The proposed approach yields superior performance with faster transient response, larger throughput, and higher link utilization, as compared to other schemes.
Starting Page	1
Ending Page	6
File Size	794451
Page Count	6
File Format	PDF
ISBN	9781424478378
DOI	10.1109/CICSyN.2010.21
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-28
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	TCP Neural Network Active Queue Management Genetic Algorithm
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Mr. Siddhartha Mukherjee siddhartha@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Nonlinear Neural Network Congestion Control Based on Genetic Algorithm for TCP/IP Networks