• DocumentCode
    2223568
  • Title

    A Full Automatic Identification of Faulty Links for Communication Networks

  • Author

    Zhao, Zhi-Gang ; Wang, Jian-Hui

  • Author_Institution
    Shenyang Normal Univ., Shenyang
  • fYear
    2008
  • fDate
    14-15 July 2008
  • Firstpage
    163
  • Lastpage
    168
  • Abstract
    Conventionally the manual service is often required for fault diagnosis of network links with improper accuracy brought in. So, a full automatic fault diagnosis approach for communication links is proposed as follows. If the path information that which node are available or unavailable to communicate with from the node(s) taking charge of network management has both been known, a fault diagnosis model is developed in combination with probability computation, by which the node(s) in charge of network management can implement full automatically the real-time identification of the range where the link failures happen most probably. Then, the link failures can be positioned accurately via quick tests. Based on this approach, a hierarchy network management architecture is designed to deal with the fault diagnosis for a heterogeneous network environment. The simulation results showed that this approach is real-time, highly accurate and full automatic with no or few extra bandwidth occupied.
  • Keywords
    fault diagnosis; telecommunication links; telecommunication network management; telecommunication network reliability; automatic identification; communication networks; fault diagnosis model; faulty links; heterogeneous network environment; link failures; network management; Artificial intelligence; Bandwidth; Communication networks; Computer network management; Computer networks; Conferences; Fault detection; Fault diagnosis; Humans; Testing; autonomy; communication network; fault diagnosis; fault identification; network management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing and Systems, 2008. WSCS '08. IEEE International Workshop on
  • Conference_Location
    Huangshan
  • Print_ISBN
    978-0-7695-3316-2
  • Electronic_ISBN
    978-0-7695-3316-2
  • Type

    conf

  • DOI
    10.1109/WSCS.2008.25
  • Filename
    4570833