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.

QoS-enabled networks consist of major functions: one is a TCP congestion control (TCC) mechanism at a source/sink node and the other is an active queue management (AQM) scheme at an intermediate node. In this paper, we introduce the major TCC mechanisms and AQM schemes, and provide analytical models and simulation-based comparisons of these TCC/AQM schemes for the purpose of identifying the rec...

Active Queue Management (AQM) takes a trade-off between link utilization and delay experienced by data packets. From control point of view, it is rational to regard AQM as a typical regulation system. In this paper, a new fuzzy adaptive second order sliding mode controller is designed for the objective of AQM. In the proposed method, the sliding parameter is adapted using fuzzy logic. Some comp...

Recognizing that Internet congestion control is a complex nonlinear system, we propose here to use an intelligent controller to improve its stability and performance. In particular, we propose here a new, powerful, easy-to-configure and robust active queue management (AQM) scheme called adaptive neuron AQM (AN-AQM). We present extensive simulation results for AN-AQM, over a wide range of networ...

In this study, the disturbance and uncertainty on nonlinear and time varying systems as Active Queue Management (AQM) is analyzed. Many of AQM schemes have been proposed to regulate a queue size close to a reference level with the least variance. We apply a normal range of disturbances and uncertainty such as variable user numbers, variable link capacity, noise, and unresponsive flows, to the t...

We introduce a novel and robust active queue management (AQM) scheme based on a fuzzy controller, called hybrid fuzzy-PID controller. In the TCP network, AQM is important to regulate the queue length by passing or dropping the packets at the intermediate routers. RED, PI, and PID algorithms have been used for AQM. But these algorithms show weaknesses in the detection and control of congestion u...

active queue management (aqm) plays an important role in the internet congestion control. it tries to enhance congestion control, and to achieve tradeoff between bottleneck utilization and delay. random early detection (red) is the most popular active queue management algorithm that has been implemented in the in internet routers and is trying to supply low delay and low packet loss. red algori...

Active Queue Management( AQM) is an efficient tool in the network to avoid saturation of the queue by warning the sender that the queue is almost full to reduce its speed before the queue is full. The buffer management schemes focus on space management, in the other hand scheduling priorities (focusing on time management) attempt to guarantee acceptable delay boundaries to applications for whic...

Active queue management (AQM) is an important function in today’s core routers that will be required in the future optical internet core. A recently reported novel architecture for optical packet buffers is extended by implementing necessary AQM functions. The suggested AQM scheme is validated and explore via simulations.

Active Queue Management (AQM) is intended to achieve high link utilization with a low queuing delay. Recent studies show that RED, one of the most well-known AQMs, is difficult to configure and does not provide significant performance gains given the complexity required for proper configuration. Recent variants of RED, such as Adaptive-RED are designed to provide more robust RED performance und...