Intelligent algorithms for QoS management in modern communication networks

This paper discusses the application of fuzzy logic and neural network based algorithms to enhance and improve the quality of service (QOS) in modern communication networks. In the last decade, a rich variety of different networking technologies have been developed to meet the diverse and ever growing service demands for multimedia communications. Some are inherent with absolute and quantitative QoS guarantee while others provide relative and qualitative QoS. Essential measures for QoS provision and guarantee include buffer/queue control and management, bandwidth estimation and allocation, traffic flow and congestion control, etc. These are adopted across networking technologies in various forms and mechanisms. This paper intends to provide an overview of the benefits that intelligent neuro-fuzzy algorithms may bring to these commonly used QoS measures.