• DocumentCode
    163807
  • Title

    Hidden Markov model based lightpath establishment technique for improving QoS in optical WDM networks

  • Author

    Chitra, K. ; Senkumar, M.R.

  • Author_Institution
    Dept. of ECE, St. Joseph´s Coll. of Eng., Chennai, India
  • fYear
    2014
  • fDate
    8-8 July 2014
  • Firstpage
    53
  • Lastpage
    62
  • Abstract
    This paper discusses the issue of providing basic QoS in optical burst-switched WDM networks. As in WDM networks, end-to-end connection demands are dynamic routes, it changes the state according to the current network traffic status. In order to improve the basic QoS, load balancing technique for lightpath establishment in Optical WDM Networks has been proposed. This approach contains three phases; initially the network´s traffic is predicted with Hidden Markov Model (HMM). In the second phase wavelength ordering technique is implemented where the crosstalk in the network is reduced. In the final phase an objective function based on GRASP is considered for the predicted traffic load from phase-1. Through this approach, it is shown in this paper that the Quality of service (QoS) in the optical WDM network can be improved in terms of delay, throughput and blocking probability.
  • Keywords
    hidden Markov models; optical burst switching; quality of service; telecommunication traffic; wavelength division multiplexing; GRASP; QoS; hidden Markov model; lightpath establishment technique; load balancing technique; optical WDM networks; optical burst-switched WDM networks; quality of service; Delays; Hidden Markov models; Optical fiber networks; Optical fibers; Quality of service; WDM networks; Blocking Probability and wavelength assignment algorithm (RWA); Crosstalk; HMM; Objective function; wavelength division multiplexing (WDM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Current Trends in Engineering and Technology (ICCTET), 2014 2nd International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-7986-8
  • Type

    conf

  • DOI
    10.1109/ICCTET.2014.6966262
  • Filename
    6966262