Fuzzy Logic Based Congestion Controller for TCP Networks
基于模糊逻辑的拥塞控制研究

This paper presents a novel fuzzy logic method for congestion control in TCP networks. State of queue is transformed into linguistic values and packet drop probability is derived from predefined fuzzy inference engine. Simulation results manifest that this method behaves better performance than that of other Active Queue Management algorisms.