• DocumentCode
    2144366
  • Title

    Two Ranked Aware Phase Surveillance in Wireless Sensor Networks

  • Author

    Chen, Chuang-Jung ; Chen, Gen-Huey ; Wu, Eric Hsiao-Kuang

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei
  • fYear
    2009
  • fDate
    18-20 May 2009
  • Firstpage
    411
  • Lastpage
    416
  • Abstract
    Event detection and environment surveillance are the important issues in wireless sensor networks. However,using the non-renewable power source leads to the short lifetime of the networks. For this reason the scheduling process is to determine the time sensor node wakes up and goes sleeping to conserve energy, so the delay time and the working interval would become trade-off. In this article, we introduce the two ranked aware phase surveillance to lower the delay time, and we use the sensed data to make the scheduling policy.We consider the event happening in two phase, so we propose two surveillance models to cope with these two phases,although this model is simple to create it can achieve the goal of reducing the delay time of detection and delivery. Finally, we show our performance in the simulation section and then describe the improvement of our approach in the future work section.
  • Keywords
    scheduling; surveillance; wireless sensor networks; delay time; environment surveillance; event detection; non-renewable power source; phase surveillance; scheduling policy; scheduling process; time sensor node; wireless sensor networks; Acoustic sensors; Computer science; Data engineering; Delay effects; Energy consumption; Event detection; Power engineering and energy; Surveillance; Temperature sensors; Wireless sensor networks; detection; sensor networks; surveillance; two phase;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Data Management: Systems, Services and Middleware, 2009. MDM '09. Tenth International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-4153-2
  • Electronic_ISBN
    978-0-7695-3650-7
  • Type

    conf

  • DOI
    10.1109/MDM.2009.79
  • Filename
    5088980