• DocumentCode
    3099109
  • Title

    Research on the Critical Nodes Compensation Algorithm in Sparse Ad Hoc Wireless Networks

  • Author

    Chen Chun-mei ; Jiang Hong ; Yang Shi-en

  • Author_Institution
    Sch. of Inf. Eng., Southwest Univ. of Sci. & Technol., Mianyang, China
  • fYear
    2009
  • fDate
    12-14 Dec. 2009
  • Firstpage
    359
  • Lastpage
    363
  • Abstract
    Sparse Ad hoc wireless networks are an active application in recent years, though sparse environment often makes the network unconnected. However, most of the previous researches focus on connected networks where an end-to-end path exists between any two nodes in the network, therefore these technologies would not work well in sparse ad hoc networks where restricted node communication radius can result in periods of intermittent connectivity. In this work, we develop a critical nodes compensation algorithm in order to prevent network from partitioning, thereby insure network connectivity and throughput. Finally, we give simulation design and analysis of the critical nodes compensation algorithm using NS model. Simulation results show that the algorithm can effectively improve sparse ad hoc networks performance.
  • Keywords
    ad hoc networks; NS model; critical node compensation algorithm; intermittent connectivity; network connectivity; network throughput; node communication radius; simulation design; sparse ad hoc wireless networks; Ad hoc networks; Algorithm design and analysis; Computer networks; Delay; Mobile communication; Partitioning algorithms; Routing protocols; Vehicle driving; Vehicle safety; Wireless networks; compensation algorithm; connectivity; critical nodes; sparse Ad hoc;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable, Autonomic and Secure Computing, 2009. DASC '09. Eighth IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3929-4
  • Electronic_ISBN
    978-1-4244-5421-1
  • Type

    conf

  • DOI
    10.1109/DASC.2009.93
  • Filename
    5380618