• DocumentCode
    1767658
  • Title

    An improved ant colony algorithm for dynamic traffic grooming in asynchronous optical packets switching networks

  • Author

    Hengjian Tang ; Fuding Zhang ; Xiaolu Zhang ; Yu Zheng ; Ying Wang ; Junhua Qiu ; Xiaohan Sun

  • Author_Institution
    Nat. Res. Center for Opt. Sensing/Commun. Integrated Networking, Southeast Univ., Nanjing, China
  • fYear
    2014
  • fDate
    9-10 Nov. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We propose an improved ant colony algorithm for dynamic traffic grooming (IACA-DTG) in asynchronous optical packets switching networks, by using of the ratio of available wavelengths and path chosen length each iteration and the dynamic information updated on the available instant wavelengths in full network, which can implement traffic grooming under shorter path and less iterations. The algorithm has been evaluated through simulation and the results show the packets blocking probability can be reduced as 0.1 and wavelength utilization ratio can be increased as 0.2, compared with original ant colony algorithm.
  • Keywords
    ant colony optimisation; iterative methods; optical communication; packet switching; probability; telecommunication traffic; IACA-DTG; ant colony algorithm improvement; asynchronous optical packets switching networks; dynamic traffic grooming; iterations algorithm; packets blocking probability; wavelength utilization ratio; Algorithm design and analysis; Heuristic algorithms; Mathematical model; Mesh networks; Optical fiber networks; Optical packet switching; Routing; Asynchronous Optical Packets Switching (AOPS); ant colony algorithm; traffic grooming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Optical Communications and Networks (ICOCN), 2014 13th International Conference on
  • Conference_Location
    Suzhou
  • Type

    conf

  • DOI
    10.1109/ICOCN.2014.6987072
  • Filename
    6987072