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CLC number: TP393

On-line Access: 2013-06-04

Received: 2012-11-09

Revision Accepted: 2013-02-19

Crosschecked: 2013-05-13

Cited: 2

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Journal of Zhejiang University SCIENCE C 2013 Vol.14 No.6 P.395-406


HierTrack: an energy-efficient cluster-based target tracking system for wireless sensor networks

Author(s):  Zhi-bo Wang, Zhi Wang, Hong-long Chen, Jian-feng Li, Hong-bin Li, Jie Shen

Affiliation(s):  Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   zbwang@iipc.zju.edu.cn, wangzhi@iipc.zju.edu.cn, hlchen@iipc.zju.edu.cn, jfli@iipc.zju.edu.cn, hbli@iipc.zju.edu.cn, shenjie@iipc.zju.edu.cn

Key Words:  Wireless sensor networks, Cluster, Energy efficiency, Target tracking, Scalability, Real-time data routing

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Zhi-bo Wang, Zhi Wang, Hong-long Chen, Jian-feng Li, Hong-bin Li, Jie Shen. HierTrack: an energy-efficient cluster-based target tracking system for wireless sensor networks[J]. Journal of Zhejiang University Science C, 2013, 14(6): 395-406.

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journal="Journal of Zhejiang University Science C",
publisher="Zhejiang University Press & Springer",

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%T HierTrack: an energy-efficient cluster-based target tracking system for wireless sensor networks
%A Zhi-bo Wang
%A Zhi Wang
%A Hong-long Chen
%A Jian-feng Li
%A Hong-bin Li
%A Jie Shen
%J Journal of Zhejiang University SCIENCE C
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1200318

T1 - HierTrack: an energy-efficient cluster-based target tracking system for wireless sensor networks
A1 - Zhi-bo Wang
A1 - Zhi Wang
A1 - Hong-long Chen
A1 - Jian-feng Li
A1 - Hong-bin Li
A1 - Jie Shen
J0 - Journal of Zhejiang University Science C
VL - 14
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SP - 395
EP - 406
%@ 1869-1951
Y1 - 2013
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.C1200318

target tracking is a typical and important application of wireless sensor networks (WSNs). Existing target tracking protocols focus mainly on energy efficiency, and little effort has been put into network management and real-time data routing, which are also very important issues for target tracking. In this paper, we propose a scalable cluster-based target tracking framework, namely the hierarchical prediction strategy (HPS), for energy-efficient and real-time target tracking in large-scale WSNs. HPS organizes sensor nodes into clusters by using suitable clustering protocols which are beneficial for network management and data routing. As a target moves in the network, cluster heads predict the target trajectory using Kalman filter and selectively activate the next round of sensors in advance to keep on tracking the target. The estimated locations of the target are routed to the base station via the backbone composed of the cluster heads. A soft handoff algorithm is proposed in HPS to guarantee smooth tracking of the target when the target moves from one cluster to another. Under the framework of HPS, we design and implement an energy-efficient target tracking system, HierTrack, which consists of 36 sensor motes, a sink node, and a base station. Both simulation and experimental results show the efficiency of our system.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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