An Energy-Efficient Approach for Real-Time Tracking of Moving Object in Multi-Level Sensor Networks

  • Authors:

  • Vincent S. Tseng;Eric H. C. Lu;Kawuu W. Lin

  • Affiliations:

  • National Cheng Kung University;National Cheng Kung University;National Cheng Kung University

  • Venue:
  • RTCSA '05 Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
  • Year:
  • 2005

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Abstract

In this paper, we propose a new approach for efficient and real-time tracking of the moving objects in sensor networks by mining the movement log. In our approach, we first conduct the hierarchical clustering to form a hierarchical model for the sensor nodes. Secondly, the movement logs of the moving objects are analyzed by a data mining algorithm to obtain the movement rules, which are then used to predict the next position of a moving object. Besides, we use the multi-level structure to represent the hierarchical relations among sensors so as to achieve the goal of keeping track of moving objects in real-time. Through experimental evaluation on various simulation conditions, the proposed method is shown to deliver excellent performance in terms of both energy efficiency and timeliness.