Optimal Traffic Routing Using Self-Organization Principle
MAZ GmbH (Mikroelektronik Anwendungszentrum), Karnapp 20, D-21079 Hamburg, Germanycxz@maz-hh.de
Abstract
This paper presents a new method to determine optimal traffic routing for telecommunication networks in a self-organizing way by means of an adaptive neural mapping. A traffic routing with minimal loss such as expected delay and other functions of traffic, is attained. The method can be effectively applied in large-scale communication networks.
1 Introduction
Traffic routing is an important task for telecommunication systems. Usually, communication companies choose traffic routes with minimal delay by using routing tables and dynamic routing [1][2][3]. However, in ...
Get Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
