Fuzzy Based Congestion Detection Technique for Queuing in IP Networks

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Internet Protocol (IP) has brought rapid development in many applications such as video and audio streaming, Voice-over-IP (VoIP) and e-commerce. However, these applications suffer from congestion problem, which severely worsens the network performance of real time data transmissions. In this paper, we propose a fuzzy based congestion detection technique for queuing in IP networks. This technique classifies the flow as real time and non real time and the priority scheduler prioritizes the classified flows as high and low, respectively. The congestion level of high priority flows is detected by means of fuzzy logic system. The queue delay and arrival rate are considered as input for Fuzzy logic and the level of congestion is estimated. According to the congestion level of flows, they are scheduled in two different queuing mechanisms. We simulate our technique using NS-2 and simulation results prove the efficiency of our approach. It eradicates unsolicited packet drops and improves packet delivery ratio.
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Congestion Detection Techniques Internet Protocol (IP); Queuing; Fuzzy Logic

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