A Node Self-Localization Algorithm for Wireless Sensor Network

Author

Zhikun Liu ; Zhong Liu ; Xiaoling Ning

Author_Institution

Electron. Eng. Coll., Naval Univ. of Eng., Wuhan, China

fYear

2013

fDate

21-23 June 2013

Firstpage

1529

Lastpage

1532

Abstract

A node self-localization algorithm based on Chaos-PSO is proposed for higher precision. It improves PSO algorithm, and introduces chaos theory characterized by its randomness and ergodicity to keep the output value out of the local extreme interval. The result of simulation shows that the performance of the new algorithm is better than PSO algorithm. Compared with least squares method which is widely used in the field of node self-localization, the new algorithm has better robustness. The precision of localization is greatly advanced and less anchor nodes are needed. It can reduce the cost of system effectively and can be applicable in wireless sensor network.

Keywords

chaos; least squares approximations; particle swarm optimisation; wireless sensor networks; Chaos-PSO; PSO algorithm; anchor nodes; chaos theory; ergodicity; least squares method; local extreme interval; node self-localization algorithm; system cost reduction; wireless sensor network; Acceleration; Chaos; Computers; Distance measurement; Least squares methods; Particle swarm optimization; Wireless sensor networks; chaos; node self-localization; particle swarm optimization; wireless sensor network;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on

Conference_Location

Shiyang

Type

conf

DOI

10.1109/ICCIS.2013.402

Filename

6643320