• DocumentCode
    1786555
  • Title

    Minimal coverage set detecting algorithm for barrier coverage in wireless sensor networks

  • Author

    Xie Huan ; Kang Lin ; Wang Chaowei ; Li Xiuhua ; Zhang Yinghai

  • Author_Institution
    Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2014
  • fDate
    19-21 Sept. 2014
  • Firstpage
    278
  • Lastpage
    282
  • Abstract
    Barrier coverage has attracted much attention in the past few years for its various applications, such as border surveillance and intrusion detection. In these applications, it is critical to achieve a strong barrier to ensure detecting any penetration of intruders in an energy-efficient manner so that the barrier can be covered with as few active sensors as possible. In this paper, we study the target detection problem through collaborative detecting under probabilistic sensing model, and propose a MCSD (minimal coverage set detecting) based on Graph theory, which seeks to achieve a strong barrier with minimal active sensors, prolonging the network lifetime. Finally, comprehensive simulations demonstrate that the proposed strategy improves network lifetime effectively.
  • Keywords
    graph theory; probability; wireless sensor networks; barrier coverage; collaborative detecting; energy-efficient manner; graph theory; minimal coverage set detecting algorithm; network lifetime; probabilistic sensing model; target detection problem; wireless sensor networks; Algorithm design and analysis; Collaboration; Probabilistic logic; Sensor phenomena and characterization; Time complexity; Wireless sensor networks; barrier coverage; minimum coverage set detection; probabilistic sensing model; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Infrastructure and Digital Content (IC-NIDC), 2014 4th IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-4736-2
  • Type

    conf

  • DOI
    10.1109/ICNIDC.2014.7000309
  • Filename
    7000309