• DocumentCode
    1828920
  • Title

    An Ant Colony Algorithm for Aggregated Multicast Based on Clustering

  • Author

    Shanwen Yi ; Hua Wang ; Rui Zhang

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
  • fYear
    2012
  • fDate
    25-27 June 2012
  • Firstpage
    920
  • Lastpage
    924
  • Abstract
    IP multicast faces a serious state scalability problem when there are large numbers of groups in the network. Aggregated Multicast has been proposed as a novel solution to solve this problem, in which multiple groups shared one aggregated tree, so as to reduce the multicast forwarding states. In this paper, we propose a Ant Colony Optimization Algorithm for Aggregated Multicast on Clustering to solve the problem that the time complexity of traditional aggregated multicast algorithm increases exponentially. Simulation results show that our algorithm performs well in program execution time and aggregation degree.
  • Keywords
    IP networks; ant colony optimisation; computational complexity; multicast communication; pattern clustering; IP multicast; aggregated tree; ant colony algorithm; clustering-based aggregated multicast; multicast forwarding states; program execution time; serious state scalability problem; time complexity; Algorithm design and analysis; Ant colony optimization; Bandwidth; Clustering algorithms; Genetic algorithms; Network topology; Optimization; aggregated multicast; ant colony optimization; constrained clustering; similar degree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS), 2012 IEEE 14th International Conference on
  • Conference_Location
    Liverpool
  • Print_ISBN
    978-1-4673-2164-8
  • Type

    conf

  • DOI
    10.1109/HPCC.2012.132
  • Filename
    6332270