• DocumentCode
    1124787
  • Title

    Optimization for Fault Localization in All-Optical Networks

  • Author

    Khair, Mazen ; Kantarci, Burak ; Zheng, Jun ; Mouftah, Hussein T.

  • Author_Institution
    Sch. of Inf. Technol. & Eng., Univ. of Ottawa, Ottawa, ON, Canada
  • Volume
    27
  • Issue
    21
  • fYear
    2009
  • Firstpage
    4832
  • Lastpage
    4840
  • Abstract
    Fault localization is a critical issue in all-optical networks. The limited-perimeter vector matching (LVM) protocol is a novel fault-localization protocol proposed for localizing single-link failures in all-optical networks. In this paper, we study the optimization problems in applying the LVM protocol in static all- optical networks. We consider two optimization problems: one is to optimize the traffic distribution so that the fault-localization probability in terms of the number of localized links is maximized, and the other is to optimize the traffic distribution so that the time for localizing a failed link is minimized. We formulate the two problems into an integer linear programming problem, respectively, and use the CPLEX optimization tool to solve the formulated problems. We show that by optimizing the traffic distribution the fault-localization probability can be maximized and the fault-localization time can be minimized. Moreover, a heuristic algorithm is proposed to evaluate the optimization results through simulation experiments.
  • Keywords
    heuristic programming; integer programming; linear programming; optical fibre networks; protocols; telecommunication network reliability; telecommunication traffic; CPLEX; LVM protocol; all-optical networks; fault localization; heuristic algorithm; limited-perimeter vector matching protocol; optimization; traffic distribution; Fault localization; link failure; optical network; performance optimization;
  • fLanguage
    English
  • Journal_Title
    Lightwave Technology, Journal of
  • Publisher
    ieee
  • ISSN
    0733-8724
  • Type

    jour

  • DOI
    10.1109/JLT.2009.2026063
  • Filename
    5153289