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

Authors:
Han Bao;Baoxian Zhang;Cheng Li;Zheng Yao
Affiliations:
Key Laboratory of Wireless Sensor Networks and Communications, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China;Research Center of Ubiquitous Sensor Networks, Graduate University of Chinese Academy of Sciences, Beijing 100049, China;Faculty of Engineering and Applied Science, Memorial University, St. John's, NL A1B 3X5, Canada;Research Center of Ubiquitous Sensor Networks, Graduate University of Chinese Academy of Sciences, Beijing 100049, China
Venue:
Wireless Communications & Mobile Computing
Year:
2012

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Abstract

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 © 2011 John Wiley & Sons, Ltd.