QoS Multicast Routing Using Teaching Learning Based Optimization

  • Anima Naik
  • K. Parvathi
  • Suresh Chandra Satapathy
  • Ramanuja Nayak
  • B. S. Panda
Conference paper

DOI: 10.1007/978-81-322-0740-5_6

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 174)
Cite this paper as:
Naik A., Parvathi K., Satapathy S.C., Nayak R., Panda B.S. (2013) QoS Multicast Routing Using Teaching Learning Based Optimization. In: Kumar M. A., R. S., Kumar T. (eds) Proceedings of International Conference on Advances in Computing. Advances in Intelligent Systems and Computing, vol 174. Springer, New Delhi

Abstract

The QoS multicast routing problem is to find a multicast routing tree with minimal cost that can satisfy constraints such as bandwidth, delay. This problem is NP Complete. Hence, the problem is usually solved by heuristic or intelligence optimization. In this paper, we present a Teaching learning based optimization method to optimize the multicast tree. A fitness function is used to implement the constraints specified by the Quality of Service conditions. The experimental results dealt with relations between the number of nodes, edges in the input graph and convergence time, the optimal solution quality comparison with other evolutionary techniques. The results reveal that our algorithm performs better than the existing algorithms.

Keywords

Multicast QoS routing teaching learning based optimization fitness function 

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Copyright information

© Springer India 2013

Authors and Affiliations

  • Anima Naik
    • 1
  • K. Parvathi
    • 2
  • Suresh Chandra Satapathy
    • 3
  • Ramanuja Nayak
    • 1
  • B. S. Panda
    • 1
  1. 1.MITSRayagadaIndia
  2. 2.CUTMParalakhemundiIndia
  3. 3.ANITSVishakapatnamIndia

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