• DocumentCode
    62973
  • Title

    Regenerator site selection for mixed line rate optical networks

  • Author

    Weisheng Xie ; Jue, Jason P. ; Xi Wang ; Qiong Zhang ; Qingya She ; Palacharla, Paparao ; Sekiya, Motoyoshi

  • Author_Institution
    Erik Jonsson Sch. of Eng. & Comput. Sci., Univ. of Texas at Dallas, Richardson, TX, USA
  • Volume
    6
  • Issue
    3
  • fYear
    2014
  • fDate
    Mar-14
  • Firstpage
    291
  • Lastpage
    302
  • Abstract
    In this paper, we study the problem of regenerator site (RS) selection for mixed line rate optical networks (MLR-RSS), with the objective of minimizing the number of RSs for a given set of requests. We first provide the problem definition of MLR-RSS and show that the MLR-RSS problem is NP-complete. An integer linear programming model is formulated. We then present two heuristic algorithms, named the independent algorithm and the sequential algorithm, and two approximation algorithms, named the MLR-combined algorithm and the weighted MLR-combined algorithm. The performance of the algorithms is compared via simulation, and results show that the weighted MLR-combined algorithm has the best performance. Results suggest that our proposed MLR algorithm outperforms existing single line rate algorithms by more than 20%. Also, the RS distribution suggests that certain nodes in the network have a much higher probability of being chosen as RSs than the others.
  • Keywords
    computational complexity; optical fibre networks; optical repeaters; optimisation; MLR-RSS; NP-complete; heuristic algorithms; independent algorithm; integer linear programming model; mixed line rate optical networks; regenerator site selection; sequential algorithm; Approximation algorithms; Approximation methods; Equations; Heuristic algorithms; Optical fiber networks; Repeaters; Routing; Approximation algorithms; Impairment-aware networking; Mixed line rates; Regenerator site selection;
  • fLanguage
    English
  • Journal_Title
    Optical Communications and Networking, IEEE/OSA Journal of
  • Publisher
    ieee
  • ISSN
    1943-0620
  • Type

    jour

  • DOI
    10.1364/JOCN.6.000291
  • Filename
    6782764