Gravitational particle swarm optimization localization algorithm for wireless sensor network nodes

被引：0

作者：

Zhou Shuwang ^{[1
]}

Shu Minglei ^{[1
]}

Yang Ming ^{[1
]}

Wang Yinglong ^{[2
]}

机构：

[1] Shandong Comp Sci Ctr, Shandong Prov Key Lab Comp Networks, Jinan 250014, Peoples R China

[2] Shandong Acad Sci, Jinan, Peoples R China

来源：

MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY | 2014年 / 556-562卷

关键词：

wireless sensor networks; localization; particle swarm optimization; unknown node;

D O I：

10.4028/www.scientific.net/AMM.556-562.4622

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：

A range-based localization approach which named gravitational particle swarm optimization localization algorithm (GL) has been proposed. This algorithm considered the influence from the position of anchor nodes to the localization results, GL can directly searched out the coordinates of unknown nodes by the distance from anchor nodes to unknown nodes. As is shown in the experiment results, GL not only has high positioning accuracy, but also overcomes the defect that location error increases rapidly as the ranging error increases, compares with normal schemes (such as method of least squares, ML) GL's accuracy can improve 40% as the ranging error is 35%.

引用

页码：4622 / 4627

页数：6

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