We describe a new active queue management scheme, Random Exponential Marking (REM), that aims to achieve both high utilization and negligible loss and delay in a simple and scalable manner. The key idea is to decouple congestion measure from performance measure such as loss, queue length or delay. While congestion measure indicates excess demand for bandwidth and must track the number of users,...

AQM attempts to provide high network utilization with low loss and delay by regulating queues at bottleneck links. While many AQM algorithms have been proposed, most suffer from instability, require careful configuration of nonintuitive control parameters, or are not practical because of slow response to dynamic traffic changes. In this paper, we propose a new AQM algorithm that combines the mo...

This paper presents a fuzzy based buffer management scheme that performs buffer allocation and packet dropping for wireless multimedia networks in the context of future generation cellular networks. In this scheme, buffers are allocated to requesting application by using buffer allocation factor and packets are dropped for an application by using dropping factor. A buffer allocation factor for ...

In order to stem the increasing packet loss rates caused by an exponential increase in network traffic, the IETF is considering the deployment of active queue management techniques such as RED [13]. While active queue management can potentially reduce packet loss rates in the Internet, this paper shows that current techniques are ineffective in preventing high loss rates. The inherent problem w...

The rapid development of information technology has promoted the transformation traditional networks into intelligent networks. Huge data traffic is generated by various types services in networks, which can easily lead to network congestion, system instability, and other problems. These problems may incur great requirements pose challenges for queue management algorithms. Most active (AQM) alg...

In this paper, we propose a per-class queue management and adaptive packet drop mechanism in the routers for Internet congestion control. We model active queue management as an optimization problem and our proposed mechanism provides congestion control and fairness for different types of traffic flows. An optimal packet drop rate is obtained to maintain a relatively small queue occupancy, which...

This paper studies traffic variable estimation, and presents a method of estimation for the number of vehicle waiting for queue (NVWQ) based on neuro-fuzzy at urban intersection. we present results of training the neural network for a detectorized intersection in Changsha City. The accuracy of NVWQ estimation using the fuzzy neural networks approaches is more than 90%. The fuzzy neural networks...