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

Localization algorithm for mobile anchor node based on genetic algorithm in wireless sensor network

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)
Jia Huanxiang ; Comput. & Control Coll., Guilin Univ. of Electron. Technol., Guilin, China ; Wang Yong ; Tao Xiaoling

The significance of localization technology for wireless sensor network is discussed, and localization algorithm based on genetic algorithm for a mobile anchor node is proposed. On the basis of the distance from anchor node to unknown node is measured by RSSI, the algorithm combines weighted centroid method and genetic algorithm in order to locate the unknown nodes. Firstly, weighted centroid method is used to get the initial estimated, and then genetic algorithm is adopted to locate precisely. The paper carries out simulation experiments on moving time, moving speed of the anchor, iterative times respectively, and the result shows that the proposed algorithm has strong expanded ability, low computing complexity, and can significantly reduce the localization error and the number of anchor nodes.

Published in:

Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on

Date of Conference:

22-24 Oct. 2010

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.