• DocumentCode
    3008154
  • Title

    A hybrid adaptive routing algorithm for mobile WiMAX using swarm intelligence

  • Author

    Kheyrihassankandi, Jahangir ; Singh, Yashwant Prasad ; Ho, Chin Kuan

  • Author_Institution
    Fac. of Comput. & Inf, Multimedia Univ., Cyberjaya, Malaysia
  • fYear
    2012
  • fDate
    3-5 July 2012
  • Firstpage
    402
  • Lastpage
    407
  • Abstract
    The paper presents the WiAntHocNet routing algorithm for mobile WiMAX, which combines ideas from Ant Colony Optimization (ACO) routing with techniques taken from more traditional routing algorithms. The algorithm has hybrid architecture, combining both reactive and proactive mechanisms based on the shortest path ant behavior. Here, we propose to study and compare the performance of the proposed routing protocol with AODV for Mobile WiMAX environment. Overall, the proposed algorithm shows high throughput, reduced end to end delay, and increased packet delivery ratio. Extensive simulations are conducted under OPNET simulator to evaluate the effectiveness of the proposed approach in both dynamic and static environments.
  • Keywords
    WiMax; ant colony optimisation; mobile radio; particle swarm optimisation; routing protocols; ACO routing; AODV routing protocol; OPNET simulator; WiAntHocNet routing algorithm; ant colony optimization; end to end delay; hybrid adaptive routing algorithm; mobile WiMAX; packet delivery ratio; proactive mechanisms; reactive proactive mechanisms; shortest path ant behavior; swarm intelligence; Algorithm design and analysis; IEEE 802.16 Standards; Mobile communication; Relays; Routing; Routing protocols; WiMAX; AODV; Ant Colony Optimization; AntHocNet; AntNe; Mobile node; Multihop Relay Station; WiMAX;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Communication Engineering (ICCCE), 2012 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-0478-8
  • Type

    conf

  • DOI
    10.1109/ICCCE.2012.6271219
  • Filename
    6271219