• DocumentCode
    3108395
  • Title

    Improvement of Connectivity in Mobile Ad Hoc Networks by Adding Static Nodes Based on a Realistic Mobility Model

  • Author

    Romoozi, Morteza ; Vahidipour, S.M. ; Babaei, Hamideh

  • Author_Institution
    Kashan Branch ,Comput. Eng. Dept, Islamic Azad Univ., Kashan, Iran
  • fYear
    2009
  • fDate
    28-30 Dec. 2009
  • Firstpage
    138
  • Lastpage
    142
  • Abstract
    One of the ad-hoc networks challenges is the connectivity problem coming from changeable and dynamic topology of networks nodes. According to most of researches done on this problem, one of the solutions is adding static nodes in some points in network environment; and many attempts have been made to find these points by using different ways. However, in most of these studies no attention has been paid to network mobility model or the problem has been solved based on unrealistic mobility model such as Random waypoint. Thus previous works are not applicable in reality. This article presents an algorithm for adding static nodes which are located in best points of network to improve connectivity. This algorithm is based on realistic mobility model that can model both environmental obstacles and pathways, and furthermore can describe the realistic movement pattern of the nodes. Proposed algorithm uses Genetic algorithm to find the best points. Since simulation operation for evaluation of solution is time-consuming, this algorithm is independent from simulation operation and uses Voronoi diagram.
  • Keywords
    ad hoc networks; genetic algorithms; mobility management (mobile radio); Voronoi diagram; connectivity problem; dynamic network topology; genetic algorithm; mobile ad hoc network; network mobility model; random waypoint; realistic movement pattern; unrealistic mobility model; Ad hoc networks; Computational modeling; Computer networks; Computer vision; Genetic algorithms; Machine vision; Mobile ad hoc networks; Mobile computing; Nearest neighbor searches; Network topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision, 2009. ICMV '09. Second International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-0-7695-3944-7
  • Electronic_ISBN
    978-1-4244-5645-1
  • Type

    conf

  • DOI
    10.1109/ICMV.2009.56
  • Filename
    5381100