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

Topology control approach based on radio irregularity using game theory for cognitive wireless networks

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

4 Author(s)
Huixing Peng ; Sch. of Comput. Sci., Beihang Univ., Beijing, China ; Yuebin Bai ; Xiaoxia Liu ; Wentao Yang

A novel topology control approach for cognitive wireless networks is proposed in this paper. It includes sensing, decision-making and acting process. Sensing process is to collect necessary local information which will be used in the decision-making stage. Decision-making process uses game theory to decide the best moving positions of nodes. A local utility function is designed for each node in this stage. It takes conditions of radio irregularity and radio regularity into account. Each node makes decision distributed and selfishly. The Nash Equilibrium in game theory is also discussed. Acting process is to construct a new topology. Our approach aims at increasing the coverage area of all nodes and keeping the whole network connected at the same time. In order to verify our approach, two groups of experiments based on radio regularity and radio irregularity are designed. In each experiment, there are two scenarios based on different node numbers. What is more, the convergence of our approach is described. Experiment results show that the proposed method is effective, reliable and stable.

Published in:

Computing, Communications and Applications Conference (ComComAp), 2012

Date of Conference:

11-13 Jan. 2012

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.