• DocumentCode
    3008116
  • Title

    Artificial Bee Colony algorithm construction minimum connected dominating set in wireless networks

  • Author

    Kheyrihassankandi, Jahangir ; Naebi, Ahmad ; Taghdisi, Hojjat ; Khatibi, Somayeh Paki

  • Author_Institution
    Fac. of Comput. & Inf., Multimedia Univ., Cyberjaya, Malaysia
  • fYear
    2012
  • fDate
    3-5 July 2012
  • Firstpage
    391
  • Lastpage
    395
  • Abstract
    In this paper, we propose an Artificial Bee Colony (ABC) algorithm, a swarm-based artificial intelligence algorithm, for computing a connected dominating set (CDS) in wireless networks. ABC Algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm. Wireless ad hoc networks appear in a wide variety of applications. In this work ABC algorithm is used for optimizing heuristic algorithm for the connected dominating set problem in wireless environment. This approach guarantees properties of correctness, locality, and also has better throughput than cyclic iterative local solution (ILS). Extensive simulations are conducted to evaluate the effectiveness of the proposed approach in static environments.
  • Keywords
    ad hoc networks; heuristic programming; particle swarm optimisation; radio networks; telecommunication computing; ABC algorithm; CDS; ILS; artificial bee colony algorithm construction; cyclic iterative local solution; dominating set; heuristic algorithm; swarm-based artificial intelligence algorithm; wireless ad hoc networks; Ad hoc networks; Algorithm design and analysis; Computational modeling; Heuristic algorithms; Optimization; Robots; Wireless networks; Artificial Bee Colony (ABC) algorithm; Connected dominating set (CDS); local solution; simulation; wireless ad hoc networks;
  • 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.2012.6271217
  • Filename
    6271217