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An energy efficient target tracking scheme for distributed wireless sensor networks

Jamali Rad, H ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/ISWCS.2009.5285219
  3. Abstract:
  4. We study the problem of power optimization for object tracking using distributed Wireless Sensor Networks (WSNs). 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 modified adaptive sleep time management scheme called Modified Predict and Mesh (MPaM) to adapt tracking time interval such that it minimizes power consumption while keeping an acceptable tracking accuracy. Also a quantitative analysis to compare the performances of the conventional PaM and proposed Modified PaM (MPaM) schemes is developed. Simulation results show that using the proposed modified scheme, the tracking network has a very good performance with the added advantage of reducing the power consumption significantly (up to 22% and up to 9%) when compared with two existing adaptive methods (PaM and AEC, respectively). Moreover, the calculated quantitative results and the simulation results coincide very well
  5. Keywords:
  6. Adaptive methods ; Distributed wireless sensor networks ; Energy efficient ; Modified scheme ; Moving objects ; Object tracking ; Power consumption ; Power optimization ; Quantitative analysis ; Quantitative result ; Simulation result ; Sleep time ; Tracking accuracy ; Tracking networks ; Tracking time ; Cellular telephone systems ; Communication systems ; Computer simulation ; Electric power utilization ; Energy efficiency ; Global system for mobile communications ; Mobile computing ; Sensor networks ; Wireless sensor networks ; Wireless telecommunication systems ; Target tracking
  7. Source: Proceedings of the 2009 6th International Symposium on Wireless Communication Systems, ISWCS'09, 7 September through 10 September ; 2009 , Pages 136-140 ; 9781424435845 (ISBN)
  8. URL: http://ieeexplore.ieee.org/document/5285219