• DocumentCode
    2332714
  • Title

    WSN04-2: Differential Random Deployment for Sensing Coverage in Wireless Sensor Networks

  • Author

    Xu, Kenan ; Hassanein, Hossam ; Takahara, Glen ; Wang, Quanhong

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Queen´´s Univ.,, Kingston, ON
  • fYear
    2006
  • fDate
    Nov. 27 2006-Dec. 1 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Due to the cost constraint, it is impossible or unnecessary for a wireless sensor network to provide full area coverage in many applications. To mitigate the negative impacts of incomplete coverage, it is critical to realize that the importance of different locations of a sensing field is often non-uniform in practice. By strategically allocating more sensor nodes to the area of more importance, the differential random deployment can effectively decrease the loss for not detecting interesting events, as compared to the uniform random deployment. In this paper, we study the differential random deployment of sensor nodes in depth. We discuss a number of factors that affect the design of the differential random deployment density function. Because of the inherent complexity, we propose a heuristic structure of the differential deployment density function. The effectiveness of our proposal is verified in the performance study via simulation.
  • Keywords
    random processes; wireless sensor networks; coverage sensing applications; differential random deployment density function; wireless sensor network; Computer networks; Costs; Density functional theory; Energy consumption; Energy efficiency; Event detection; Proposals; Protocols; Surveillance; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    1930-529X
  • Print_ISBN
    1-4244-0356-1
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2006.483
  • Filename
    4151113