TY  - JOUR
T1  - Optimization of Network Traffic Routing and Handling of Network Congestion Using Artificial Nerual Network
AU - , Gnanambal, I. AU - , Wahida Banu 
JO  - Asian Journal of Information Technology
VL  - 5
IS  - 7
SP  - 696
EP  - 701
PY  - 2006
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2006.696.701
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2006.696.701
KW  - Routing
KW  -optimal path
KW  -hop failure
KW  -Congestion
KW  -queuing
AB  - 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.
ER  -