Neural network for QOS multicast routing in computer networks

Abstract EN

In this paper, a Neural Network (NN) for Quality of Service (QoS) Multicast Routing in Computer Networks is proposed.

The NN will uses an efficient objective function that reflect several QoS parameters such as cost, bandwidth consumption, and transmission delay to evaluate the multicast routes between one source node and multiple destination nodes.

Our proposed NN finds the multicast tree with minimum cost subject to bandwidth and delay constraints.

The NN is distributed at each node in communication network and it makes its decision based on a database of alternate routes between each pairs of nodes in the network dynamically.

The simulation results explain that the proposed NN exhibits a good quality of solution and a good rate of convergence to optimal solution that lead to high speed response in high speed computer networks