Authors : I. Gnanambal and Wahida Banu
Abstract: A novel generalized algorithm is designed and developed to obtain optimal path traffic routing for communication network. An algorithm is presented by considering the routing design metrics distance between the hops, number of hops, hop failure and congestion. The selected network for the generalized algorithm is capable of handling a network of any structure with any number of hops. One of the main objectives in communication network is to reduce the communication cost to reach the destination that can be obtained by reducing the number of hops to reach the destination. Also considering minimum number of hope in data transfer from source to destination will reduce the traffic and congestion in the network link. Further to enhance the efficiency algorithm designed by considering the metrics number of hops, hop failure and congestion. The developed algorithm is tested and presented with a typical example. In this study the author present the performance measure of network congestion with Single Server Queuing model using Artificial Neural network.
Gnanambal, I. and Wahida Banu , 2006. Optimization of Network Traffic Routing and Handling of Network Congestion Using Artificial Nerual Network. Asian Journal of Information Technology, 5: 696-701.