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A new adaptive prediction-based tracking scheme for wireless sensor networks

Jamali Rad, H ; Sharif University of Technology | 2009

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  1. Type of Document: Article
  2. DOI: 10.1109/CNSR.2009.59
  3. Publisher: 2009
  4. Abstract:
  5. The accuracy of the object tracking is dependent on the tracking time interval. Smaller tracking time interval increases the accuracy of tracking a moving object. However, this increases the power consumption significantly. This paper proposes a new adaptive algorithm (AEC) to adapt tracking time interval such that it minimizes power consumption while keeping the required accuracy. Simulation results show that using the proposed algorithm, the tracking network has a good performance with the added advantage of reducing the power consumption significantly when compared with existing nonadaptive methods (like PATES). Moreover, simulation results show that the performance of the proposed algorithm is better than one of existing adaptive methods (PaM) with respect to power consumption (up to 12%) and tracking accuracy (up to 5%). © 2009 IEEE
  6. Keywords:
  7. Adaptive methods ; Adaptive predictions ; Moving objects ; Object tracking ; Power consumption ; Simulation result ; Tracking accuracy ; Tracking networks ; Tracking scheme ; Tracking time ; Tracking time interval ; Adaptive algorithms ; Electric power utilization ; Sensor networks ; Wireless sensor networks ; Target tracking
  8. Source: Proceedings of the 7th Annual Communication Networks and Services Research Conference, CNSR 2009, 11 May 2009 through 13 May 2009, Moncton, NB ; 2009 , Pages 335-341 ; 9780769536491 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4939147