• DocumentCode
    2384582
  • Title

    Energy-Efficient Clustering in Wireless Sensor Networks with Spatially Correlated Data

  • Author

    Dabirmoghaddam, Ali ; Ghaderi, Majid ; Williamson, Carey

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB, Canada
  • fYear
    2010
  • fDate
    15-19 March 2010
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    In this paper, we show how spatial correlation in data can be exploited to reduce energy consumption in a wireless sensor network. We analytically characterize the optimal cluster size, and then use a greedy clustering algorithm to study approximate solutions to the optimal data gathering problem.
  • Keywords
    pattern clustering; wireless sensor networks; energy consumption; energy-efficient clustering; greedy clustering algorithm; optimal cluster size; spatially correlated data; wireless sensor network; Clustering algorithms; Communications Society; Costs; Data communication; Energy consumption; Energy efficiency; Peer to peer computing; Temperature sensors; Transmitters; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM IEEE Conference on Computer Communications Workshops , 2010
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-6739-6
  • Electronic_ISBN
    978-1-4244-6739-6
  • Type

    conf

  • DOI
    10.1109/INFCOMW.2010.5466686
  • Filename
    5466686
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2384582