Congestion in router buffer increases the delay and packet loss. Active Queue Management (AQM) methods are able to detect congestion in early stage and control it by packet dropping. Effective Random Early Detection (ERED) method, among many other AQM methods, gives a good performance in detect and control congestion and preserve packet loss. However, the ERED neglect the delay factor, which is...

The active queue management (AQM) problem of networks is discussed. An AQM scheme is presented based on improved sliding model controller. The proposed controller combines the excellent characteristics of linear sliding model controller (LSMC) and the terminal sliding model controller (TSMC). The LSMC is used to speed up the error convergence when the error is greater than one, and the TSMC is ...

Traffic is the chief puzzle problem which every country faces because of the enhancement in number of vehicles throughout the world, especially in large urban towns. Hence the need arises for simulating and optimizing traffic control algorithms to better accommodate this increasing demand. Fuzzy optimization deals with finding the values of input parameters of a complex simulated system which r...

Network management and control is a complex problem that requires robust, possibly intelligent, control methodologies to obtain satisfactory performance. Active Queue Management (AQM) mechanisms have been introduced to assist the TCP congestion control. We discuss the modeling and control approach followed by a number of representative AQM schemes, and address possible limitations to meet the d...

One of the most promising active queue management schemes being proposed for deployment in the Internet is RED. However, research results on RED performance are highly mixed, especially in the field of tuning its parameters. In this paper, we revisit some features in RED and study them in greater details. We point out that RED in general does not possess proportional loss between flows as claim...

This paper, proposes a generic active queue management (AQM) control methodology in TCP/IP networks, based on Fuzzy logic control principles. A simple, effective and efficient non-linear control law is built, using a linguistic model of the system, rather than a traditional mathematical model, which is easily adapted in different network environments (e.g. Best-Effort and Differentiated-Service...

The proposed Fuzzy Logic Controller (FLC) is a novel approach for dynamic buffer tuning at the user/server level. It eliminates buffer overflow by ensuring that the buffer length always cover the queue length adaptively. The FLC and the AQM (active queue management) mechanisms at the router/system level together form a unified solution to stifle TCP (Transmission Control Protocol) channel buffe...

In today’s world, nothing seems to be impossible, due to the astonishing advancements in science and technology. Now days, many humans are dependent on internet for their daily chores. But, congestion is one of the major issues, which affects the performance of such data networks. Thus, in order to control congestion, various schemes have been developed. In this research paper, the active queue...

random early detection (red) is one of the most commonly used active queue management (aqm) algorithms that is recommended by ietf for deployment in the network. although red provides low average queuing delay and high throughput at the same time, but effectiveness of red is highly sensitive to the red parameters setting. as network condition varies largely, setting red's parameters with fixed ...

Unlike other explicit traffic control protocols that have to estimate network parameters in order to compute the allowed source sending rate, our fuzzy-logic-based controller can measure the router queue size directly; hence it avoids various potential performance problems arising from parameter estimations while reducing much consumption of computation and memory resources in routers. As a net...