• DocumentCode
    1878386
  • Title

    A fuzzy balancing load system to improve hybrid ad hoc networks

  • Author

    Delgado, A. J Yuste ; Gadeo-Martos, M.A. ; Fernandez-Prieto, J.A. ; Canada-Bago, J.

  • Author_Institution
    Telecommun. Eng. Dept., Univ. of Jaen, Linares, Spain
  • fYear
    2012
  • fDate
    17-19 Sept. 2012
  • Firstpage
    66
  • Lastpage
    69
  • Abstract
    In this paper, we propose the use of an expert system in order to improve a load balancing mechanism in a hybrid multihop network. The use of Fuzzy Logic is particularly appropriate in this type of networks because of the uncertainty associated with the movement of mobile nodes. In our proposal, mobile nodes select routes to the Internet based on a knowledge-based system. The expert system uses a set of parameters to choose the best path to the Internet so that the links are not saturated, allowing a load balancing between them. Preliminary results show that the proposed algorithm improves the performance of other load balancing mechanisms in terms of network latency and packet loss.
  • Keywords
    Internet; fuzzy logic; mobile ad hoc networks; mobile computing; resource allocation; Internet; fuzzy balancing load system; hybrid multihop network; improve hybrid ad hoc networks; knowledge-based system; mobile nodes; network latency; packet loss; Ad hoc networks; Fuzzy logic; Internet; Logic gates; Measurement; Fuzzy system; ad hoc networks; balancing load;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2012 IEEE 17th International Workshop on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4673-3123-4
  • Electronic_ISBN
    978-1-4673-3124-1
  • Type

    conf

  • DOI
    10.1109/CAMAD.2012.6335380
  • Filename
    6335380