Detection and compensation for disruptive non-linear traffic-flow dynamics in communication networks

A method has been developed for the monitoring of traffic flow behavioural dynamics in distributed communication networks and the provision of results from this process to a distributed neural control mechanism which facilitates localised adaptive traffic routing in order to maintain or regain flow stability. It has been shown by simulation how the novel method improves network performance and efficiency beyond that of conventional techniques.