Neural network based optimal routing algorithm for communication networks

Venkataram, Pallapa and Ghosal, Sudip and Kumar, Vijay BP (2002) Neural network based optimal routing algorithm for communication networks. In: Neural Networks, 15 (10). pp. 1289-1298.

PDF Neural_network_based.pdf - Published Version Restricted to Registered users only Download (332kB) | Request a copy

Abstract

This paper presents the capability of the neural networks as a computational tool for solving constrained optimization problem, arising in routing algorithms for the present day communication networks. The application of neural networks in the optimum routing problem, in case of packet switched computer networks, where the goal is to minimize the average delays in the communication have been addressed. The effectiveness of neural network is shown by the results of simulation of a neural design to solve the shortest path problem. Simulation model of neural network is shown to be utilized in an optimum routing algorithm known as flow deviation algorithm. It is also shown that the model will enable the routing algorithm to be implemented in real time and also to be adaptive to changes in link costs and network topology. (C) 2002 Elsevier Science Ltd. All rights reserved.

Item Type:	Journal Article
Publication:	Neural Networks
Publisher:	Elsevier Science
Additional Information:	Copyright of this article belongs to Elsevier Science.
Keywords:	Communication network;Routing;Hopfield neural network
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	21 Jul 2011 06:55
Last Modified:	12 Oct 2018 10:12
URI:	http://eprints.iisc.ac.in/id/eprint/39296

Actions (login required)

View Item