An Improved Particle Swarm Optimization Deployment for Wireless Sensor Networks

被引：11

作者：

Ding, Shuxin ^{[1
]}

Chen, Chen ^{[1
]}

Chen, Jie ^{[1
]}

Xin, Bin ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Automat, Key Lab Intelligent Control & Decis Complex Syst, 5 Zhong Guan Cun South St, Beijing 100081, Peoples R China

来源：

JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS | 2014年 / 18卷 / 02期

关键词：

wireless sensor networks; deployment; particle swarm optimization; disturbance;

D O I：

10.20965/jaciii.2014.p0107

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper addresses the issues associated with deployment of sensors, which are critical in wireless sensor networks. This paper provides an improved particle swarm optimization (PSO) algorithm by changing the basic form of PSO and introducing disturbance (d-PSO). By comparing with other PSO-based algorithms, simulation results show that the d-PSO algorithm provides a good-coverage solution with a satisfying coverage rate in a short time. This feature is especially useful for the rapid deployment of sensors.

引用

下载

页码：107 / 112

页数：6

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