• DocumentCode
    3511245
  • Title

    A Hierarchy Management Framework for LEO Satellite Communication Networks

  • Author

    Zhao, Zhi-Gang ; Wang, Jian-Hui

  • Author_Institution
    Shenyang Normal Univ., Shenyang
  • fYear
    2008
  • fDate
    1-3 Nov. 2008
  • Firstpage
    288
  • Lastpage
    291
  • Abstract
    An autonomous iteration-based approach is proposed to identify faulty links for LEO satellite systems employing intersatellite links (ISLpsilas). A designed network satellite with management responsibilities collects the routing information of communication itself with other satellites, based on which a fault diagnosis model is introduced. Then the most likely faulty link is identified by using an iteration-based probability method, in conjunction with which an autonomuos localization procedure is described to pinpoint the actual faulty links. Based on this approach, a hierarchy network management architecture is designed to deal with the fault diagnosis for LEO satellite networks.The performance of the algorithm is evaluated through simulation.
  • Keywords
    fault diagnosis; iterative methods; probability; satellite links; telecommunication network management; telecommunication network reliability; telecommunication network routing; LEO satellite communication network; autonomous iteration-based probability; autonomuos localization procedure; fault diagnosis model; faulty intersatellite link identification; hierarchy network management architecture; routing information; Artificial satellites; Conference management; Fault diagnosis; Intelligent networks; Intelligent systems; Low earth orbit satellites; Network topology; Power system management; Routing; Satellite communication; DT-DVTG model; LEO Satellite Networks; Management Framework; autonomuos localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3391-9
  • Electronic_ISBN
    978-0-7695-3391-9
  • Type

    conf

  • DOI
    10.1109/ICINIS.2008.19
  • Filename
    4683222