Neural Network based Dynamic Multicast Routing

Authors

  • N. Kojic ICT College of Vocational Studies
  • I. Reljin University of Belgrade
  • B. Reljin University of Belgrade

DOI:

https://doi.org/10.5755/j01.eee.19.3.3703

Keywords:

Dynamic routing, multicast, Steiner tree problem, Hopfield neural network

Abstract

The Hopfield neural network is suggested for dynamic multicast routing in communication network of arbitrary topology and under variable traffic conditions. A new algorithm takes into account not only the most important parameters describing the actual network state (the network topology, link and router bandwidths, estimated link delays, and the traffic density), but also the history of link/router occupancy. The goal of the paper is to find the Pareto optimal path for multicast routing case and to avoid possible packets loss, due to heavy traffic. The effectiveness of the new routing algorithm has been verified under various network topologies and traffic conditions.

DOI: http://dx.doi.org/10.5755/j01.eee.19.3.3703

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Published

2013-03-07

How to Cite

Kojic, N., Reljin, I., & Reljin, B. (2013). Neural Network based Dynamic Multicast Routing. Elektronika Ir Elektrotechnika, 19(3), 92-97. https://doi.org/10.5755/j01.eee.19.3.3703

Issue

Vol. 19 No. 3 (2013)

Section

TELECOMMUNICATIONS ENGINEERING

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