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Dynamic Clustering for Object Tracking in Wireless Sensor Networks

  • Guang-yao Jin
  • Xiao-yi Lu
  • Myong-Soon Park
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4239)

Abstract

Object tracking is an important feature of the ubiquitous society and also a killer application of wireless sensor networks. Nowadays, there are many researches on object tracking in wireless sensor networks under practice, however most of them cannot effectively deal with the trade-off between missing-rate and energy efficiency. In this paper, we propose a dynamic clustering mechanism for object tracking in wireless sensor networks. With forming the cluster dynamically according to the route of moving, the proposed method can not only decrease the missing-rate but can also decrease the energy consumption by reducing the number of nodes that participate in tracking and minimizing the communication cost, thus can enhance the lifetime of the whole sensor networks. The simulation result shows that our proposed method achieves lower energy consumption and lower missing-rate.

Keywords

Sensor Network Sensor Node Wireless Sensor Network Cluster Head Object Tracking 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Guang-yao Jin
    • 1
  • Xiao-yi Lu
    • 1
  • Myong-Soon Park
    • 1
  1. 1.Dept. of Computer Science and EngineeringKorea UniversitySeoulKorea

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