• DocumentCode
    2656407
  • Title

    Application of wireless sensor networks in forest fire detection under uncertainty

  • Author

    Mal-Sarkar, Sanchita ; Sikder, Iftikhar U. ; Konangi, Vijay K.

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Cleveland State Univ., Cleveland, OH, USA
  • fYear
    2010
  • fDate
    23-25 Dec. 2010
  • Firstpage
    193
  • Lastpage
    197
  • Abstract
    This paper proposes a soft computing approach to manage uncertainty and rule discovery by reasoning over inconsistent, incomplete and fragmentary information using dominance-based rough set theories. A methodological and computational basis is illustrated in a sensor network application scenario of a forest fire detection system.
  • Keywords
    fires; forestry; geophysics computing; rough set theory; uncertainty handling; wireless sensor networks; dominance-based rough set theories; forest fire detection system; rule discovery; soft computing; uncertainty management; wireless sensor networks; Accuracy; Fires; Indexes; Set theory; Uncertainty; Wireless sensor networks; forest fire; rough set theory; soft computing; uncertainty; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (ICCIT), 2010 13th International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4244-8496-6
  • Type

    conf

  • DOI
    10.1109/ICCITECHN.2010.5723853
  • Filename
    5723853
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2656407