Currently Active Queue Management have been proposed to look after the degradation of performance of end-to end control of congestion. AQM algorithms do not able to provide stabilization to the heavy network loads. In this document a fuzzy control algorithm based on the novel adaptive system is used to enhance the  IP network performance. In comparison to the traditional AQM which includes PID and RED the proposal made by us avoid any sort of underflows Andover flow of buffer, reduce droppings with packets etc.

An on-line adpating mechanism is proposed by us that enable the capturing of fluctuating network in conditions. On the other hand, classical AQM requires tuning based on stats mode. The stability of the algorithm is proven mathematical. The results of simulation shows for the utilization of the same link and FAFC provides far more superb performance the PID and RED.

In this document we propose a new system that is acting as an adaptive fuzzy controller for FAFC and AQM. It enables a fast response in comparison to the classical controllers like PID and RED. Thanks to the Lyapunov theory  and the system’s stability is checked properly. The controller that is obtained is simple and allows quick implementation. At the same time it also improves the functions of the network and reduce the delay in work.

For multimedia packet loss rate and jitter are important applications. The experiments of stimulation demonstrate that FAFc allows to stabile the length of the queue quickly in spite of the TCP sessions variation.  The performance result that is demonstrated the capacity of FAFC enable network capturing that are in nonlinear formats. Our future work will aim in extending the FAFC so that it can deal with the requirements of the heterogeneous traffics which will further provide varieties of droppings probabilities in networks.