Congestion Control Using Soft Computing

Congestion Control Using Soft Computing

T. Revathi (Mepco Schlenk Engineering College, India) and K. Muneeswaran (Mepco Schlenk Engineering College, India)
DOI: 10.4018/978-1-60566-814-7.ch014
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In the recent Internet era the queue management in the routers plays a vital role in the provision of Quality of Service (QoS). Virtual queue-based marking schemes have been recently proposed for Active Queue Management (AQM) in Internet routers. In this chapter, the authors propose Fuzzy enabled AQM (F-AQM) scheme where the linguistics variables are used to specify the behavior of the queues in the routers. The status of the queue is continuously monitored and decisions are made adaptively to drop or mark the packets as is done in Random Early Discard (RED) and Random Early Marking (REM) algorthms or schemes. The authors design a fuzzy rule base represented in the form of matrix indexed by queue length and rate of change of queue. The performance of the proposed F-AQM scheme is compared with several well-known AQM schemes such as RED, REM and Adaptive Virtual Queue (AVQ).
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Impact Of Congestion

There are two approaches for handling congestion. First one is congestion control, which starts acting after the network is congested or it is overloaded. Second one is congestion avoidance where the network starts playing before the network is overloaded.

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