We use Active Queue Management (AQM) strategy for congestion avoidance in Transmission Control Protocol (TCP) networks to regulate queue size close to a reference level. In this paper we present two efficient and new AQM systems as a queue controller. These methods are designed using Improved Neural Network (INN) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS). Our aim is low queue variation...

The Active Queue Management algorithms stabilize the instantaneous queue length through mapping the congestion measurement into packet drop probability to achieve high throughput and low average delay. Random Early Detection [RED] is widely used AQM mechanism detecting and avoiding the incipient congestion. The detection of congestion is based on priori estimation of congestion and calculation ...

Active Queue Management (AQM) can potentially reduce packet loss rate in the Internet. This is used by routers for control congestion, where packets are dropped before queues become full. In this paper, comparative study has been done using NS2 simulator. By examine five different AQM techniques i.e. RED, RIO, SFB, SRR and BLUE the performance of network has been evaluated on the basis of three...

—This paper presents and analyses the implementation of a novel active queue management (AQM) named FavourQueue that aims to improve delay transfer of short lived TCP flows over a best-effort network. The idea is to dequeue in first packets that do not belong to a flow previously enqueued. The rationale is to mitigate the delay induced by long-lived TCP flows over the pace of short TCP data req...

Active queue management (AQM) is a group of FIFO based queue management mechanisms in a router to support end-to-end congestion control in the Internet. Until random early detection (RED) was proposed by the internet engineering task force (IETF) for deploying[1], FIFO based tail drop (TD) was the only AQM mechanism used in the network. Two main functions are used in AQM: one is the congestion ...