• DocumentCode
    3122362
  • Title

    An application of Genetic Fuzzy Systems for wireless sensor networks

  • Author

    Leal, Líliam Barroso ; Filho, Raimir Holanda ; de S Lemos, Marcus Vinicius ; Rabelo, Ricardo A L ; Borges, Fabio A S

  • Author_Institution
    Appl. Comp. Sci. Dept., Univ. of Fortaleza, Fortaleza, Brazil
  • fYear
    2011
  • fDate
    27-30 June 2011
  • Firstpage
    2473
  • Lastpage
    2480
  • Abstract
    Wireless sensor networks (WSNs) are composed of sensor nodes in order to detect and transmit features from the physical environment. Generally, the sensor nodes transmit information to a special node called sink. Some recent researches have led to the selection of routes in sensor networks with multiple sink nodes. The approach proposed by this paper presents the application of Genetic Fuzzy System (GFSs) for the selection of routes in WSNs, in order to make the communication between multiple sensor nodes and sink nodes. The results obtained through simulations demonstrated a sensor network with a longer lifetime, through the choice of the adequate sink used for sending packets through the network in order to find the best routes.
  • Keywords
    fuzzy systems; genetic algorithms; wireless sensor networks; genetic fuzzy systems; multiple sink nodes; sensor nodes; wireless sensor networks; Biological cells; Fuzzy logic; Fuzzy systems; Genetics; Pragmatics; Routing protocols; Wireless sensor networks; Fuzzy Inference System; Genetic Algorithms; Mamdani; Sink Nodes; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-7315-1
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2011.6007598
  • Filename
    6007598