Research and simulation of node localization in WSN based on Quantum particle swarm optimization

被引：3
|
作者：
Gong, Litao [1 ]
Sun, Jun [1 ]
Xu, Wenbo [1 ]
Xu, Jian [2 ]
机构：
[1] Jiangnan Univ, Sch IOT Engn, Wuxi, Peoples R China
[2] Chongqing Med & Pharmaceut Coll, Chongqing, Peoples R China
来源：
2012 11TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS TO BUSINESS, ENGINEERING & SCIENCE (DCABES) | 2012年
关键词：
Wireless network; Distributed; Node localization; QPSO;
D O I：
10.1109/DCABES.2012.58
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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 matlab. And it proves that the QPSO algorithm works well in node localization algorithm.
引用
收藏
页码：144 / 148
页数：5
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