• DocumentCode
    3236154
  • Title

    An efficient ant colony algorithm for QoS anycast routing

  • Author

    Xiao Meng ; Li Taoshen

  • Author_Institution
    Sch. of Comput., Electron. & Inf., Guangxi Univ., Nanning, China
  • fYear
    2009
  • fDate
    25-28 July 2009
  • Firstpage
    135
  • Lastpage
    138
  • Abstract
    Anycast communication is a new Internet service defined in IPv6, and it can make a host communication with the one ldquonearestrdquo member in a group of servers. The anycast routing problem with multiple QoS constrained is known to be NP-complete problem and we can´t get satisfying results when using the precise method in polynomial time. In this paper, a QoS anycast routing algorithm based on ant colony algorithm is proposed. In order to search a reasonable anycast routing path, a felicitous estimate method of the optimization path is designed and the load balance is considered. By adjusting the pheromone in the iteration-best path and re-initializing the algorithm, this algorithm can efficiently avoid falling into local optimal path and enlarge global searching. The experimental results show that this algorithm can effectively find the global-best solution that satisfied the QoS constraint and balance the load of networks, and has better performance and efficiency.
  • Keywords
    IP networks; Internet; computational complexity; iterative methods; optimisation; telecommunication network routing; IPv6; Internet service; NP-complete problem; QoS anycast routing problem; ant colony algorithm; anycast communication; iteration-best path; load balance; optimization path; Ant colony optimization; Bandwidth; Costs; Delay; Multicast algorithms; Polynomials; Quality of service; Routing; Web and internet services; Web server; QoS routing; ant colony algorithm; anycast; load balance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
  • Conference_Location
    Nanning
  • Print_ISBN
    978-1-4244-3520-3
  • Electronic_ISBN
    978-1-4244-3521-0
  • Type

    conf

  • DOI
    10.1109/ICCSE.2009.5228507
  • Filename
    5228507