Routing Algorithm Based on Two-layer Recurrent Neural Network
Zhou Jing-quan①; Zhang Shun-yi②
①Department of Electronic Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;②Director Office, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Abstract:This paper is concerned with the optimum routing and flow assignment problem in packet-switch networks. The optimum objective function is the network-wide average time delay. To make the solution be implemented reliably in real time, a neural network for shortest path computation that is a two-layer recurrent structure is applied to flow deviation method. Simulation results show that improvements can be achieved in the reliability of successful convergence and in the decrease of computation time.