DocumentCode :
3389533
Title :
Localization algorithm for mobile anchor node based on genetic algorithm in wireless sensor network
Author :
Huanxiang, Jia ; Yong, Wang ; Xiaoling, Tao
Author_Institution :
Comput. & Control Coll., Guilin Univ. of Electron. Technol., Guilin, China
fYear :
2010
fDate :
22-24 Oct. 2010
Firstpage :
40
Lastpage :
44
Abstract :
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.
Keywords :
computational complexity; genetic algorithms; wireless sensor networks; RSSI; genetic algorithm; localization algorithm; low computing complexity; mobile anchor node; weighted centroid method; wireless sensor network; Wildlife; Wireless sensor networks; centroid algorithm; genetic algorithm; localization; mobile anchor node; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-6834-8
Type :
conf
DOI :
10.1109/ICISS.2010.5655005
Filename :
5655005
Link To Document :
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