Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
410452 | Neurocomputing | 2009 | 9 Pages |
Abstract
In this paper we explore the interest of computational intelligence tools in the management of heterogeneous communication networks, specifically to predict congestion, failures and other anomalies in the network that may eventually lead to degradation of the quality of offered services. We show two different applications based on neural and neuro-fuzzy systems for quality of service (QoS) management in next generation networks for voice and video service over heterogeneous Internet protocol (V2oIP) services. The two examples explained in this paper attempt to predict the communication network resources for new incoming calls, and visualizing the QoS of a communication network by means of self-organizing maps.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Rafael del-Hoyo, Bonifacio MartÃn-del-BrÃo, Nicolas Medrano, Julian Fernández-Navajas,