• DocumentCode
    3158628
  • Title

    A Node Scheduling Scheme Based on Coverage-Preserving for Wireless Sensor Network

  • Author

    Yufu, Jia ; Hongjun, Liu

  • Author_Institution
    HuBei Univ. of Econ., Wuhan
  • fYear
    2007
  • fDate
    22-24 Aug. 2007
  • Firstpage
    856
  • Lastpage
    860
  • Abstract
    An effective approach for energy conservation in wireless sensor networks is to schedule sleep intervals for extraneous nodes, while the remaining nodes stay active to provide continuous service. In this paper, we proposed a new scheme based on Monte Carlo algorithm to test whether the nodes deployed in interested region are redundant or not. The computational complexity is only O(n). It also established the coverage collision detection and back-off mechanism applied in the wireless sensor network. The simulation results show that the system can cover all the interested area with least nodes and the coverage void will not appear during the course of state- transition. The coverage collision detection and back-off mechanism proposed in this article can be applied when the nodes both have synchronous and asynchronous mechanism. It also provides a stable stage with the length of the time can be adjusted.
  • Keywords
    Monte Carlo methods; protocols; wireless sensor networks; Monte Carlo algorithm; computational complexity; coverage collision detection; coverage configuration protocol; coverage-preserving scheme; energy conservation; node scheduling; wireless sensor network; Computational complexity; Computer science; Energy conservation; Information technology; Monte Carlo methods; Power generation economics; Processor scheduling; Protocols; Sleep; Wireless sensor networks; coverage collision detection; coverage configration protocol; monte carlo algorithm; state transition condition; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking in China, 2007. CHINACOM '07. Second International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1009-5
  • Electronic_ISBN
    978-1-4244-1009-5
  • Type

    conf

  • DOI
    10.1109/CHINACOM.2007.4469519
  • Filename
    4469519