A Fuzzy-Adaptive Virtual Queue Management Algorithm

With the dramatic growth of network traffics,AQM is becoming a focus in filed of TCP end-to-end congestion control research.In order to solve the problems of queue congestion,utilize queue's resource effectively and reduce queue's jitter,this text adopts a method of computing packet's drop probability through Fuzzy-Controlling Model to reduce queue's jitter caused by hard-judging;at the same time,the expected queue length is introduced into the algorithm to explicitly control and stabilize the queue length,and improve queue's resource utility.Finally,three different kinds of traffics are simulated using NS2 simulation platform,the results of simulations demonstrate that the proposed algorithm is of a certain feasibility and application value,and can solve the problems of queue's jitter and low queue's resource utility to a certain extent.