Cart (Loading....) | Create Account
Close category search window
 

Research on Congestion Control Model and Algorithm for High-Speed Network Based on Genetic Neural Network and Intelligent PID

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Xiao Laisheng ; Network & Educ. Technol. Center, Guangdong Ocean Univ., Zhanjiang, China ; Wang Zhengxia ; Peng Xiaohong

In this paper, we have studied high-speed network congestion control problem from two levels of end system and communication subnet. First of all, a high-speed network congestion control model is presented based on HSTCP algorithm. From the aspect of control theory, we research AQM algorithm in communication subnet of high-speed network and give a design method of AQM controller based on genetic neural network and intelligent PID. In the system, we add two key parts into traditional PID controller. The first part is application of neural network, which is responsible for adjusting PID controller parameters online. The second part takes use of global convergence in genetic algorithm and sets up genetic neural network model to optimize weight coefficients and for neural network. In this paper, we integrate the advantages of genetic algorithm, neural network and PID control model, by which a high-speed network congestion control model is set up based on genetic neural network and PID, by which, a new AQM algorithm is designed for high-speed network based on HSTCP/AQM model that is called IP AQM. In this way, we have opened a new approach for foundation of high-speed network congestion control model and research of AQM algorithm.

Published in:

Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on

Date of Conference:

24-26 Sept. 2009

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.