Mobile anchor assisted particle swarm optimization (PSO) based localization algorithms for wireless sensor networks

被引：24

作者：

Bao, Han ^{[2
]}

Zhang, Baoxian ^{[1
]}

Li, Cheng ^{[3
]}

Yao, Zheng ^{[1
]}

机构：

[1] Chinese Acad Sci, Res Ctr Ubiquitous Sensor Networks, Grad Univ, Beijing 100049, Peoples R China

[2] Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, Key Lab Wireless Sensor Networks & Commun, Shanghai 200050, Peoples R China

[3] Mem Univ Newfoundland, Fac Engn & Appl Sci, St John, NF A1B 3X5, Canada

来源：

WIRELESS COMMUNICATIONS & MOBILE COMPUTING | 2012年 / 12卷 / 15期

基金：

加拿大自然科学与工程研究理事会;

关键词：

wireless sensor network; localization; particle swarm optimization; mobile anchor;

D O I：

10.1002/wcm.1056

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Node localization is essential to wireless sensor networks (WSN) and its applications. In this paper, we propose a particle swarm optimization (PSO) based localization algorithm (PLA) for WSNs with one or more mobile anchors. In PLA, each mobile anchor broadcasts beacons periodically, and sensor nodes locate themselves upon the receipt of multiple such messages. PLA does not require anchors to move along an optimized or a pre-determined path. This property makes it suitable for WSN applications in which data-collection and network management are undertaken by mobile data sinks with known locations. To the best of our knowledge, this is the first time that PSO is used in range-free localization in a WSN with mobile anchors. We further derive the upper bound on the localization error using Centroid method and PLA. Simulation results show that PLA can achieve high performance in various scenarios. Copyright (C) 2011 John Wiley & Sons, Ltd.

引用

页码：1313 / 1325

页数：13

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