By Topic

Localization Algorithm of Mobile Node in WSN Based on Monte Carlo

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
$33 $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)
Bing Hu ; Mechanism & Autom., Wuhan Univ. of Technol., Wuhan, China ; Hongsheng Li ; Sumin Liu

Mobile node localization is one of the key issues in wireless sensor networks. This paper proposes a localization algorithm by using Monte Carlo methods. The algorithm assists nodes to locate with the help of estimate information of motion mode established forehand. What's more, the algorithm could adapt to different motion state of mobile nodes, uses the distance between the samples and the beacon nodes to calculate the weights of every samples. The simulation results show the algorithm breaks the limitation that at least three beacon nodes are needed for localization to some extent, improving the localization accuracy and having string robustness.

Published in:

Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on

Date of Conference:

1-3 Nov. 2009