• DocumentCode
    2231434
  • Title

    Localization and Coverage for High Density Sensor Networks

  • Author

    Bahi, Jacques M. ; Makhoul, Abdallah ; Mostefaoui, Ahmed

  • Author_Institution
    Lab. of Comput. Sci., Franche-Comte Univ.
  • fYear
    2007
  • fDate
    19-23 March 2007
  • Firstpage
    295
  • Lastpage
    300
  • Abstract
    The only power source of nodes in sensor networks is usually provided by batteries which have a determined lifetime. In order to increase the total network lifetime, neighbors nodes can alternate between active (receive, transmit...) and sleep mode. The objective is to find sets of active nodes that ensure as much as possible the zone coverage. In this paper, we will introduce a new method for nodes scheduling in sensor networks. We exploit a mobile beacon localization approach to construct sets of active nodes. The mobile beacon follows the Hilbert space filling curve, that has several properties. It divides the area into unit squares by the mean of linear ordering. In our approach, we chose the Hilbert curve order, in a way that, every unit square will be covered by one and only one sensor node and all the reminder nodes inside this unit square will go to sleep until the first node dies. It is an energy saved approach because nodes communicate only with the mobile beacon. The experimental studies we conducted, confirmed the effectiveness of our approach
  • Keywords
    Hilbert spaces; mobile radio; scheduling; wireless sensor networks; Hilbert space filling curve; energy saved approach; high density sensor networks; linear ordering; mobile beacon localization approach; nodes scheduling; Batteries; Computer science; Energy consumption; Energy efficiency; Filling; Hilbert space; Laboratories; Monitoring; Quality of service; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications Workshops, 2007. PerCom Workshops '07. Fifth Annual IEEE International Conference on
  • Conference_Location
    White Plains, NY
  • Print_ISBN
    0-7695-2788-4
  • Type

    conf

  • DOI
    10.1109/PERCOMW.2007.61
  • Filename
    4144844