A novel mobility management scheme for target tracking in cluster-based sensor networks

Authors:
Zhibo Wang;Wei Lou;Zhi Wang;Junchao Ma;Honglong Chen
Affiliations:
State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, P.R. China;Department of Computing, The Hong Kong Polytechnic University, Hong Kong;State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, P.R. China;Department of Computing, The Hong Kong Polytechnic University, Hong Kong;Department of Computing, The Hong Kong Polytechnic University, Hong Kong
Venue:
DCOSS'10 Proceedings of the 6th IEEE international conference on Distributed Computing in Sensor Systems
Year:
2010

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Abstract

Target tracking is a typical and important application of wireless sensor networks (WSNs). In the consideration of scalability and energy efficiency for target tracking in large scale WSNs, it has been employed as an effective solution by organizing the WSNs into clusters. However, tracking a moving target in cluster-based WSNs suffers the boundary problem when the target moves across or along the boundary among clusters. In this paper, we propose a novel scheme, called hybrid cluster-based target tracking (HCTT), which integrates on-demand dynamic clustering into a cluster-based WSN for target tracking. To overcome the boundary problem, when the target moves close to the boundary among clusters, a dynamic cluster will be constructed for the management of target tracking. As the target moves, static clusters and on-demand dynamic clusters alternately manage the tracking task. Simulation results show that the proposed scheme performs better in tracking the moving target when compared with other typical target tracking protocols.