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论文类型：期刊论文

发表时间：2015-01-01

发表刊物：INTERNATIONAL JOURNAL OF SENSOR NETWORKS

收录刊物：SCIE、Scopus

卷号：19

期号：3-4,SI

页面范围：194-203

ISSN号：1748-1279

关键字：localisation and tracking; device free; PF; particle filter; WSNs; wireless sensor networks; RSS; received signal strength

摘要：This paper presents a particle filter (PF) based approach to realise the target localisation and tracking task for large scale wireless sensor networks (WSNs) without the need of equipping the target with a wireless device. We utilise the variation of the received signal strength (RSS) measurements between the node pairs and present a statistical model for relating the variation of the RSS measurements to the spatial location of the target. And then, we adopt the PF framework to realise the localisation and tracking task, and the statistical model is utilised to build the observation likelihood function. Meanwhile, to make the above strategies applicable for the computational and power resource limited large scale WSNs, we propose a scheme to select a subset of nodes and links to participate in the location estimation. Experimental results demonstrate the effectiveness of our approach.