• DocumentCode
    263938
  • Title

    Reliable genetic algorithm based intelligent routing for MANET

  • Author

    Biradar, Arun ; Thool, R.C.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., East West Inst. of Technol., Bangalore, India
  • fYear
    2014
  • fDate
    17-19 Jan. 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Mobile Ad-hoc Networks (MANETs) has become one of the most prevalent areas of research in the recent years because of the challenges it pose to the related protocols. Mobile Ad Hoc Network (MANET) is a collection of wireless mobile nodes forming a temporary network without the use of any existing network infrastructure or centralized administration. In Mobile Ad-hoc Network (MANET), routing is one of the important issues that has a significant impact on the network´s performance. An ideal routing algorithm should strive to find an optimum path for packet transmission within a specified time, so as to satisfy feasibility and quality of service. In this paper GA is involved in routing during route discovery to get a optimum solution and route maintenance in order to deal with all the infeasible chromosomes.
  • Keywords
    genetic algorithms; mobile ad hoc networks; telecommunication network routing; MANET; genetic algorithm; intelligent routing; mobile ad-hoc networks; packet transmission; route discovery; route maintenance; routing algorithm; wireless mobile nodes; Biological cells; Genetic algorithms; Routing; Routing protocols; Sociology; Statistics; Ad-hoc On-demand Distance Vector (AODV); Ad-hoc On-demand Multipath Distance Vector Routing (AOMDV); Dynamic Source Routing (DSR); Genetic Algorithms (GA); Mobile Ad hoc Networks (MANETs);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Applications and Information Systems (WCCAIS), 2014 World Congress on
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4799-3350-1
  • Type

    conf

  • DOI
    10.1109/WCCAIS.2014.6916649
  • Filename
    6916649