DocumentCode :
2580380
Title :
Research and Simulation of Node Localization in WSN Based on Quantum Particle Swarm Optimization
Author :
Gong, Litao ; Sun, Jun ; Xu, Wenbo ; Xu, Jian
Author_Institution :
Sch. of IOT Eng., Jiangnan Univ., Wuxi, China
fYear :
2012
fDate :
19-22 Oct. 2012
Firstpage :
144
Lastpage :
148
Abstract :
There´re so many kinds of localization algorithms with a big localization error. And how to reduce this error is really a very important problem. This paper studies four distributed localization algorithms in WSN, and introduces a pretty popular optimization algorithm named quantum particle swarm optimization algorithm into it. In the end, this paper does some simulations with mat lab. And it proves that the QPSO algorithm works well in node localization algorithm.
Keywords :
particle swarm optimisation; wireless sensor networks; QPSO algorithm; WSN; distributed localization algorithms; node localization; quantum particle swarm optimization; Algorithm design and analysis; Distance measurement; Educational institutions; Global Positioning System; Particle swarm optimization; Sun; Wireless sensor networks; Distributed; Node localization; QPSO; Wireless network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing and Applications to Business, Engineering & Science (DCABES), 2012 11th International Symposium on
Conference_Location :
Guilin
Print_ISBN :
978-1-4673-2630-8
Type :
conf
DOI :
10.1109/DCABES.2012.58
Filename :
6385258
Link To Document :
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