WSN Node Localization Algorithm Based on Adaptive Particle Swarm Optimization

被引：9
|
作者：
Gao, Y. [1 ]
Zhao, W. S. [1 ]
Jing, C. [1 ]
Ren, W. Z. [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Sch Elect Engn, Beijing 100876, Peoples R China
来源：
ELECTRICAL INFORMATION AND MECHATRONICS AND APPLICATIONS, PTS 1 AND 2 | 2012年 / 143-144卷
关键词：
localization; WSN; particle swarm; DV-Hop;
D O I：
10.4028/www.scientific.net/AMM.143-144.302
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：302 / +
页数：2
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