The simulation of communication networks using a continuous-state, or fluid modeling approach, has shown to be very efficient for a wide range of performance evaluation scenarios. In this paper we present a fluid model of the RED active queue management algorithm for FluidSim, a simulation tool based on the fluid paradigm. We compare the behavior and efficiency of our model against the results ...

This paper studies congestion control in local wireless networks supporting transmission control protocol (TCP) under random early detection (RED). In general, congestion delays may cause instability of the routers running active queue management (AQM) protocols such as RED. Moreover, its management efficiency could be reduced by serious queue oscillation. To improve these two drawbacks, we pro...

The Kalman Filter (KF) is used to optimally estimate system states from the sequential noisy measurements of the outputs. On the other hand, real-time systems are often modeled with uncertainties and time-delays. Developing KF algorithms for such systems is an important problem to obtain optimal state estimates by utilizing the information on uncertainties and time-delays. First, designing of K...

In packet switched networks, routers need to implement controls to overcome the problems of reduced performance in the event of congestion. In this work, with a view towards robust implementation, we examine a new active queue management scheme, Acceptance and Departure Rate (ADR) that uses a combination of acceptance rate and departure rate measures to control link congestion. Unlike many exis...

Random Early Detection (RED) [1] is a widely deployed active queue management scheme in packetswitched networks. Although RED can improve packet loss rates, its performance depends severely on the tuning of its operating parameters. To alleviate the problem of parameter dependence, we propose an algorithm to adaptively vary the queue weight wq in conjunction with the maximum packet dropping pro...

Packet networks require queues (buffers) to absorb short term arrival rate fluctuations. Yet network implementors have always observed that queues at bottlenecks tend to fill and stay filled, which contributes extra delay and removes the ability to absorb bursts. In [1] Floyd and Jacobson proposed the RED (Random Early Detection) active queue management algorithm. RED is simple, robust and quit...

Active queue management (AQM) policies are those policies of router queue management that allow for the detection of network congestion, the notification of such occurrences to the hosts on the network borders, and the adoption of a suitable control policy. This paper proposes the adoption of a fuzzy proportional integral (FPI) controller as an active queue manager for Internet routers. The ana...

With the continuous expanding of Internet scale, the network users and application increase rapidly and congestion control has become focus of network study. Several congestion control algorithms have been proposed out and improved for effective reduction of packet loss rate and for better utilization of network bandwidth. AQM (Active Queue Management) controls the queue length through intermed...

We introduce a novel and robust active queue management (AQM) scheme based on a Proportional-IntegralDerivative (PID) controller, called Neuron PID, that uses an adaptive neuron to tune its parameters. We demonstrate by simulations that Neuron PID stabilizes the router queue length regardless of the round trip delay better than other well-known AQM algorithms.

Active Queue Management (AQM) policies are those policies of router queue management that allow the detection of network congestion, the notification of such occurrences to the hosts on the network borders, and the adoption of a suitable control policy. This paper proposes the adoption of a Fuzzy Proportional Integral (FPI) controller as an active queue manager for Internet routers. The analyti...