• DocumentCode
    2743552
  • Title

    Fault-Tolerant Base Station Based Target Tracking in WSNs

  • Author

    Khajei, Rahim Pasha ; Haghighat, Abolfazl Toroghi ; Karimpour, Jaber

  • fYear
    2011
  • fDate
    25-27 Jan. 2011
  • Firstpage
    361
  • Lastpage
    366
  • Abstract
    Target tracking is one of the most important and energy killer applications in wireless sensor networks (WSNs). Fault tolerance to any failure is an essential in this context. Hence, we introduce a novel approach toward Base Station (BS) oriented clustering and tracking in WSNs. Proposed method overlooks ad-hoc ability of WSNs to earn energy efficiency and fault tolerance. BS is a powerful energy and computational resource, therefore, we burden BS with major part of clustering and tracking operations. We used 3-D cubic antenna to enable our sensors to receive BS packets from long distance. Also, BS has a good knowledge of nodes energy level, as a result, BS rotates activated nodes and CH to avoid load balancing problem. To the best of our knowledge, this is the first time that BS is employed in tracking application. According to simulations, the proposed algorithm is highly energy efficient and robust against target loss.
  • Keywords
    fault tolerance; pattern clustering; target tracking; wireless sensor networks; 3D cubic antenna; base station oriented clustering; computational resource; energy killer applications; fault-tolerant base station; load balancing problem avoidance; nodes energy level; target tracking; wireless sensor networks; Clustering algorithms; Energy states; Fault tolerance; Fault tolerant systems; Sensors; Target tracking; Wireless sensor networks; Base Station; Fault Tolerant; Target Loss; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, Modelling and Simulation (ISMS), 2011 Second International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-9809-3
  • Type

    conf

  • DOI
    10.1109/ISMS.2011.62
  • Filename
    5730375