WSN Node Localization Algorithm Based on Adaptive Particle Swarm Optimization

Ying Gao; W. S. Zhao; C. Jing; Wei Zheng Ren

doi:10.4028/www.scientific.net/AMM.143-144.302

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 143-144WSN Node Localization Algorithm Based on Adaptive...

WSN Node Localization Algorithm Based on Adaptive Particle Swarm Optimization

Abstract:

In order to overcome shortcomings of existing range-free wireless sensor network (WSN) node localization methods such as huge computation volume and great effect of node density on localization precision, a WSN localization algorithm based on adaptive particle swarm optimization (APSO) was put forward in combination with particle swarm theory and DV-Hop algorithm. This algorithm improved localization precision by more than 20%, and the effect of node density on localization precision was significantly less than DV-Hop algorithm without any addition of hardware facilities and communication load.

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Periodical:

Applied Mechanics and Materials (Volumes 143-144)

Pages:

302-306

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.143-144.302

Citation:

Cite this paper

Online since:

December 2011

Authors:

Ying Gao, W. S. Zhao, C. Jing, Wei Zheng Ren

Keywords:

DV-Hop, Localization, Particle Swarm, Wireless Sensor Network (WSN)

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