Active Queue Management maintains the smaller queuing delay and higher throughput by purposefully dropping packets at the intermediate nodes

and is becoming a focus in field of TCP end-to-end congestion control. Most of the existing AQM algorithxns follow the probability-based packet dropping mechanism originated from RED

which is disadvantage to the router performance optimization because random number generaiion needs rather computational effort.In this paper

the congestion index is put forward to quantificationally describe the network congestion state. Then

a novel intelligent packet dropping mechanism is designed based on fuzzy logic.The off line inference greatly simplifies on-line process

and thus it is very beneficial to optimize the router performance. The simulation results show that the intelligent mechanism is superior to the classical RED algorithm. It is insensitive to load variance

and able to resist against the disturbance caused by burst and short-lived http sessions

and non-elastic TJDP connections

which is very suitable for the rapidly changeful network environment.