• DocumentCode
    3545487
  • Title

    An Effective Multi-fault Localization Algorithm for Optical Networks

  • Author

    Wang, Ruyan ; Xu, Lei ; Wu, Dapeng ; Huang, Sheng

  • Author_Institution
    Key Lab. of Opt. Fiber Commun., Chongqing Univ. of Posts & Telecommun., Chongqing, China
  • fYear
    2009
  • fDate
    21-22 Nov. 2009
  • Firstpage
    133
  • Lastpage
    136
  • Abstract
    Considered with the accurate and fast link fault localization algorithm in optical networks, an effective multi-fault localization algorithm is proposed to solve the issue of localizing multi-fault in cycle cover monitoring algorithm. First of all, the monitoring site was chosen for each cycle from the heuristic spanning-tree (HST) cycle covering algorithm; then, suspected fault domains were obtained through the HST algorithm; after that, the monitoring paths were selected by using K-shortest path algorithm (KSP); lastly, the mapping relationship of alarm codes was built to monitoring paths. The simulation results indicate that the detection path based multi-fault localization algorithm (DMFLA) improved from the traditional cycle monitoring cover algorithm (HST) has certain adaptability for multi-fault monitoring and localization in optical networks. In addition, it can achieve the complete localization of double faults for optical networks.
  • Keywords
    fault diagnosis; optical fibre networks; K-shortest path algorithm; alarm codes; detection path based multifault localization algorithm; multifault localization algorithm; multifault monitoring; optical networks; Algorithm design and analysis; Fault detection; Heuristic algorithms; Information technology; Intelligent networks; Monitoring; Optical fiber communication; Optical fiber networks; Probes; Protocols; detection path; localization; multi-fault; optical networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application Workshops, 2009. IITAW '09. Third International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-1-4244-6420-3
  • Electronic_ISBN
    978-1-4244-6421-0
  • Type

    conf

  • DOI
    10.1109/IITAW.2009.14
  • Filename
    5419480