• DocumentCode
    2651610
  • Title

    A Combinatorial Optimisation Approach to the Design of Dual Parented Long-Reach Passive Optical Networks

  • Author

    Cambazard, Hadrien ; Mehta, Deepak ; Sullivan, Barry O. ; Quesada, Luis ; Ruffini, Marco ; Payne, David ; Doyle, Linda

  • Author_Institution
    4C, Univ. Coll. Cork, Cork, Ireland
  • fYear
    2011
  • fDate
    7-9 Nov. 2011
  • Firstpage
    785
  • Lastpage
    792
  • Abstract
    We present an application focused on the design of resilient long-reach passive optical networks. We specifically consider dual parented networks whereby each customer must be connected to two metro sites via a local exchange sites. An important property of such a placement is resilience to single metro node failure. The objective of the application is to determine the optimal position of a set of metro-nodes such that the total optical fibre length is minimised. We prove that the decision variant of this problem is NP-Complete. We present three alternative combinatorial optimisation approaches to finding an optimal metro node placement using: a mixed integer linear programming formulation of the problem, a hybrid approach that uses clustering as a preprocessing step, and, finally, a local search approach. We consider a detailed case-study based on a network for Ireland. The hybrid approach scales well and finds solutions that are close to optimal, with a runtime that is two orders-of-magnitude better than the MIP model. The local search approach is consistently good on all benchmarks.
  • Keywords
    optical fibre networks; passive optical networks; NP-complete; combinatorial optimisation approach; dual parented networks; local exchange sites; long reach passive optical networks; metro node failure; Clustering algorithms; Complexity theory; Joining processes; Passive optical networks; Resource management; Search problems; Silicon; Combinatorial Optimisation Problem; Dual Coverage; Local Search; Location Problem; Passive Optical Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on
  • Conference_Location
    Boca Raton, FL
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4577-2068-0
  • Electronic_ISBN
    1082-3409
  • Type

    conf

  • DOI
    10.1109/ICTAI.2011.123
  • Filename
    6103414