• DocumentCode
    3131105
  • Title

    A gradient approach for differentiated wireless sensor network deployment

  • Author

    Aitsaadi, Nadjib ; Achir, Nadjib ; Boussetta, Khaled ; Gavish, Bezalel

  • Author_Institution
    LIP6, Univ. Paris 6, Paris
  • fYear
    2008
  • fDate
    24-27 Nov. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we propose a new sensor deployment strategy by considering both a probabilistic sensor detection model and a monitored area with geographical irregularity requirement of the sensed events. In this case, each point in the deployment field needs a specific minimum guarantee in event detection probability. The main objective is to find the minimum number of senors and their positions, in order to guarantee the requirement event detection threshold. Thus, we propose a new scalable deployment strategy based on virtual forces. The fundamental idea of our proposal is to adjust the number and the position of sensors according to virtual forces that must be computed for each sensor. The performance evaluation shows that our proposal obtained the best results compared to several other sensor deployment strategies founded in the literature.
  • Keywords
    gradient methods; performance evaluation; probability; wireless sensor networks; differentiated wireless sensor network deployment; event detection probability; gradient approach; performance evaluation; probabilistic sensor detection model; scalable deployment strategy; sensor position; virtual forces; Chemical sensors; Chemical technology; Computational complexity; Event detection; Monitoring; Pollution; Proposals; Sensor phenomena and characterization; Temperature sensors; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Days, 2008. WD '08. 1st IFIP
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4244-2828-1
  • Electronic_ISBN
    978-1-4244-2829-8
  • Type

    conf

  • DOI
    10.1109/WD.2008.4812925
  • Filename
    4812925