This project evaluates performance of of TCP RENO under Random Early Detection (RED) and Explicit Congestion Notification (ECN) -based schemes of congestion avoidance. The evaluation is done in a number of Wide Area Network (WAN) scenarios, which are analyzed for throughput, droprate and fairness.

Research presented in this paper uses the Network Simulator, ns2, to investigate the direct effects and subsequent consequences associated with the use of different transport protocols in a SIP context. Specifically, we seek to perform a comparative evaluation of UDP, TCP and SCTP based on a model simulating a scenario most likely to benefit from congestion control and error correction mechanis...

Despite the vast wealth of traffic data available, currently there is only limited integration, analysis and utilisation of data in the transport domain. Yet, accurate congestion and incident detection is vital for traffic network operators to allow them to mitigate the cost of traffic incidents. Recurrent (cyclical) traffic congestion tends to be managed using timetabled control measures or th...

Many modeling approaches have been proposed to help forecast and detect incidents. Accident has received the most attention from researchers due to its impacts economically. The traffic congestion costs billions of dollars to economy. The main reasons of major percentage of traffic congestion are the incidents. Road accidents continue to increase in digital age. There are many reasons for road ...

Link failures and packet drops due to congestion are two frequently occurring problems in mobile ad hoc networks, degrading the network performance significantly. In this paper, we propose a link failure and congestion-aware reliable data delivery (LCRDD) mechanism that jointly exploits local packet buf fering and multilevel congestion detection and control approaches for increasing the data de...

Congestion on the roads is a key problem to deal with, which wastes valuable time.. Due to high mobility rate and relative speed link failure occur very often. VANET is used to tackle the problem of congestion, and make decisions well in advance to avoid traffic congestion. In this paper we proposed a solution to detect and control the traffic congestion by using of both (V2V) and (V2I), as a r...

We investigate the effect of TCP Explicit Congestion Notification (ECN) with a new response strategy that is more aggressive in the short term, but preserves TCP long term behavior, without modifying the router marking rate. A less aggressive ECN decrease gives more incentives for end systems to become ECN-compliant, as ECN serves as an early warning sign in this case. Our analysis and simulati...

This article discusses the simulation and evaluation of a traffic congestion detection system which combines inter-vehicular communications, fixed roadside infrastructure and infrastructure-to-infrastructure connectivity and big data. The system discussed in this article permits drivers to identify traffic congestion and change their routes accordingly, thus reducing the total emissions of CO₂ ...

In this paper, we present a dynamic congestion management mechanism called DWRED (Dynamic Weighted RED) that enhances the well-known congestion avoidance Random Early Detection (RED) algorithm, by providing service for multiple classes of traffic as well as dynamic parameters modifications using the communicating agents concepts of MultiAgents Systems. We also propose a simple DWRED prototype i...

The support of the ABR service category is a key feature for future ATM networks to allow an economical transmission of applications with vague requirements for throughput and delay. The idea behind the ABR service is to convey feedback information about the network congestion status from the network elements to the end systems in order to dynamically adapt the transmission rates of the ABR sou...