• DocumentCode
    589463
  • Title

    Selection and Ranking of Optimal Routes through Genetic Algorithm in a Cognitive Routing System for Mobile Ad Hoc Network

  • Author

    Afridi, Muhammad Idrees

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
  • Volume
    1
  • fYear
    2012
  • fDate
    28-29 Oct. 2012
  • Firstpage
    507
  • Lastpage
    510
  • Abstract
    Genetic algorithm can be used for proper selection and ranking of all possible variable route addresses in mobile ad-hoc network (MANET). Ranking is based upon priority code of the links. a priority code is calculated by respective routing protocol, which depends on different parameters and metrics. a node can change its position and new nodes may join the MANET, so genetic algorithm can better estimate such kind of variations through its crossover and mutation genetic operators. Genetic algorithm is especially useful in cases of novel cognitive routing for MANET. Cognition in MANET is either based upon learning automata method as in some wireless sensor networks or specialized cognitive neural networks. Ranking of optimal links in MANET after a regular interval through genetic algorithm enhance the performance of cognitive routing. It help in proper selection of desired routing protocol for a given set of network conditions.
  • Keywords
    automata theory; genetic algorithms; mobile ad hoc networks; routing protocols; MANET; cognitive neural networks; cognitive routing; cognitive routing system; crossover genetic operators; genetic algorithm; learning automata method; mobile ad-hoc network; mutation genetic operators; optimal route selection; priority code; routing protocol; variable route ranking; wireless sensor networks; Genetic algorithms; Mobile ad hoc networks; Mobile communication; Routing; Routing protocols; Sociology; Statistics; Cognitive routing system; Genetic algorithm; Hybrid routing system; Mobile ad-hoc network (MANET); Neural network; Reactive and proactive protocols; learning automata;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-2646-9
  • Type

    conf

  • DOI
    10.1109/ISCID.2012.132
  • Filename
    6407032