Fuzzy Active Queue Management for Congestion Control in Wireless Ad-Hoc.

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 showed that early dropping o f incoming packet is an effective technique to avoid congestion and to minimize the packet latency. Such approach is known as Active Queue Management (AQM). In this paper, an enhanced algorithm, called Fuzzy-AQM, is suggested using fuzzy logic system to achieve the benefits o f AQM. Uncertainty associated with queue congestion estimation and lack o f mathematical model for estimating the time to start dropping incoming packets makes the Fuzzy-AQM algorithm the best choice. Extensive performance analysis via simulation showed the effectiveness o f the proposed method for congestion detection and avoidance improving overall network performance. [ABSTRACT FROM AUTHOR]

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