The Study on a New Immune Optimization Routing Model

  • Authors:
  • Jun Qin;Jiang-Qing Wang;Zi-Mao Li

  • Affiliations:
  • College of ComputerScience, South-central University for Nationalities,Wuhan,430074, China;College of ComputerScience, South-central University for Nationalities,Wuhan,430074, China;College of ComputerScience, South-central University for Nationalities,Wuhan,430074, China

  • Venue:
  • ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
  • Year:
  • 2007

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Abstract

The integrated network (mixed with fixed network, cellular wireless network and ad hoc network etc.) would have different dynamic properties to the single-technique-based network, such as the movement of nodes and the change of delay of links. In this paper, we propose a new dynamic multicast routing model with a mechanism called local rearrangement to handle the changes in integrated network. Furthermore, D-IOA, an immune algorithm based on clone process, which employs gene library to improve the effectiveness of D-IOA to meet the real-time requirement in online multicast routing fields, is given to optimize the multicast sub-tree within the range of local rearrangement. The simulation results indicate that our algorithm balances three metrics better compared with other two famous dynamic multicast routing algorithms.