• DocumentCode
    2787976
  • Title

    Ant colony optimization for routing in mobile ad hoc networks

  • Author

    Yu, Wan-Jun ; Zuo, Guo-ming ; Li, Qianq-qian

  • Author_Institution
    Coll. of Inf. Eng., Northeast Dianli Univ., Jilin
  • Volume
    2
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    1147
  • Lastpage
    1151
  • Abstract
    Routing algorithm is a pivotal technology for ad hoc networks, in this paper, an algorithm for routing in mobile ad hoc networks based on ideas from the ant colony optimization (ACO-AHR) is proposed. Using ACO principle, available pheromone ratio of ant agent release is firstly proposed and applied to routing algorithm, and according to multi-agent mechanism, introduces the service agents to reduce the expense of ant agents. This algorithm is a hybrid algorithm that combines reactive path setup with proactive path probe and maintain. Finally, the simulating results show that ACO-AHR is effective.
  • Keywords
    ad hoc networks; mobile communication; optimisation; telecommunication network routing; ant colony optimization; mobile ad hoc networks routing; multiagent mechanism; Ad hoc networks; Algorithm design and analysis; Ant colony optimization; Cybernetics; Intelligent networks; Machine learning; Machine learning algorithms; Mobile ad hoc networks; Network topology; Routing protocols; ACO; Agent; Mobile ad hoc networks; Routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620576
  • Filename
    4620576