• DocumentCode
    587408
  • Title

    WSN dynamic clustering for oil slicks monitoring

  • Author

    Harchi, S. ; Georges, J.-P. ; Divoux, T.

  • Author_Institution
    CRAN, Univ. de Lorraine, Vandoeuvre lès Nancy, France
  • fYear
    2012
  • fDate
    28-30 Aug. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Clustering algorithms for wireless sensor networks are known as application-dependent. In the framework of the oil slicks monitoring in marine environment, this paper describes the modeling of a node implementing a dedicated dynamic partitioning algorithm, using a specific metric for which simulation provides optimal weights for combining various parameters (energy, density, mobility).
  • Keywords
    environmental monitoring (geophysics); oils; pattern clustering; water pollution; wireless sensor networks; WSN dynamic clustering; clustering algorithms; dynamic partitioning algorithm; marine environment; oil slicks monitoring; wireless sensor networks; Adhesives; Clustering algorithms; Heuristic algorithms; Magnetic heads; Measurement; Sensors; Wireless sensor networks; clustering; mobility; wireless sensors network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications in Unusual and Confined Areas (ICWCUCA), 2012 International Conference on
  • Conference_Location
    Clermont Ferrand
  • Print_ISBN
    978-1-4673-1290-5
  • Electronic_ISBN
    978-1-4673-1289-9
  • Type

    conf

  • DOI
    10.1109/ICWCUCA.2012.6402488
  • Filename
    6402488
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=587408