Dynamic multicast sharing protection algorithm based on fuzzy game in multi-domain optical network
Author:
Affiliation:

1. College of Equipment Management and Support, Engineering University of PAP, Xi’an 710086, China ;2. College of Information Engineering, Engineering University of PAP, Xi’an 710086, China

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Aiming at the problem of dynamic multicast service protection in multi-domain optical network, this paper proposes a dynamic multicast sharing protection algorithm based on fuzzy game in multi-domain optical network. The algorithm uses the minimum cost spanning tree strategy and fuzzy game theory. First, it virtualizes two planes to calculate the multicast tree and the multicast protection tree respectively. Then, it performs a fuzzy game to form a cooperative alliance to optimize the path composition of each multicast tree. Finally, it generates a pair of optimal multicast work tree and multicast protection tree for dynamic multicast services. The time complexity of the algorithm is O(k3m2n), where n represents the number of nodes in the networks, k represents the number of dynamic multicast requests, and m represents the number of destination nodes for each multicast request. The experimental results show that the proposed algorithm reduces significantly the blocking rate of dynamic multicast services, and improves the utilization of optical network resources within a certain number of dynamic multicast request ranges.

    Reference
    Related
    Cited by
Get Citation

WU Qi-wu, CHEN Hao, JIANG Ling-zhi, ZHOU Yang. Dynamic multicast sharing protection algorithm based on fuzzy game in multi-domain optical network[J]. Optoelectronics Letters,2020,16(6):455-461

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:January 13,2020
  • Revised:February 28,2020
  • Adopted:
  • Online: October 16,2020
  • Published: