A Stable Fuzzy Logic Controller Using the Least Parameter for Explicit Traffic Control

The fuzzy-logic-based IntelRate controller is a newly proposed intelligent explicit traffic congestion controller that can avoid the evaluation of some critical network parameters such as bottleneck bandwidth or the number of flows in a router. It fundamentally eliminates the potential performance problems caused by parameter mis-estimations. Besides, it saves computation resources and improves the router efficiency. This paper theoretically and experimentally shows that the IntelRate control system is stable in whatever network traffic conditions while providing superior performance. It is the first time that an explicit rate-based congestion control system designed with the fuzzy logic control is proved globally asymptotically stable. Our simulations demonstrate that the IntelRate controller can have better performance than other exiting controllers upon network parameter changes.