Active queue management (AQM) algorithms have been proposed to leverage TCP protocol inherent congestion algorithms which usually fail to maintain the queue length to an average level under large or bursting workloads. The main task of AQM algorithms is to detect network congestion at its early stages and start drop packets before the congestion affects the network throughput in a high degree. ...

Mobile ad hoc network is a network without infrastructure where every node has its own protocols and services for powerful cooperation in the network. Every node also has the ability to handle the congestion in its queues during traffic overflow. Traditionally, this was done through DropTail policy where the node drops the incoming packets to its queues during overflow condition. Many studies s...

Active Queue Management is a convenient way to administer the network load without increasing the complexity of end-user protocols. Current AQM techniques work in two ways; the router either drops some of its packets with a given probability or creates different queues with corresponding priorities. Head-toTail introduces a novel AQM approach: the packet rearrange scheme. Instead of dropping, H...

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...

The purpose of this paper is to design congestion controllers for TCP/AQM networks using state predictive control and illustrate effectiveness of designed congestion controllers via SIMULINK and the ns-2 simulator. Linearized models of TCP/AQM networks can be described as linear systems with an information delay simply. Using state predictive control, these linear systems with an information de...

The purpose of this paper is to design state predictive LQI congestion controllers by considering effective equilibrium points of nonlinear models of TCP/AQM networks and to illustrate the effectiveness of the designed congestion controllers via the ns-2(Network Simulator ver.2) simulator. First nonlinear models of TCP/AQM networks are linearized at equilibrium points and a method to configure ...

In recent years, AQM (Active Queue Management) mechanisms, which support the end-to-end congestion control mechanism of TCP (Transmission Control Protocol), have been widely studied. The AQM mechanism is a congestion control mechanism at a router to control its queue length by actively discarding arriving packets. Many AQM mechanisms such as RED (Random Early Detection) have been proposed. Howe...

When TCP is carried over 3G links, overbuffering and buffer overflow at the RLC layer degrades its performance. AQM techniques at the RLC buffer can bring noticeable enhancements to TCP performance without introducing changes in 3G specifications. We show that the optimum parameter setting of AQM algorithms in RLC buffers is strongly related to the radio bearer rate, which can be changed dynami...

Mobile ad-hoc network is a network without infrastructure where every node has its own protocols and services for powerful cooperation in the network. Every node also has the ability to handle the congestion in its queues during traffic overflow. Traditionally, this was done through Drop-Tail policy where the node drops the incoming packets to its queues during overflow condition. Many studies ...

Active Queue Management (AQM) schemes are a class of queueing algorithms designed to surmount some of the shortcomings of classic Drop-Tail queues in best-effort networks. Much recent work has focused on improving AQM performance through alternate approaches: in excess of 50 schemes have been proposed since 1999 alone. This study details a simulationbased evaluation and comparison of a subset o...