FAOM: a novel active queue management with fuzzy logic for TCP-Based interactive communications
ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
A fuzzy-expert-system-based structure for active queue management
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
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High-speed LANs are beginning to migrate from shared media to switch based configurations (commonly based on ATM architectures). Because of the characteristics of ATM networks and nature of LAN traffic, there is a need for effective congestion control strategies to be developed in order to maintain the network utilization and throughput at optimum levels. We describe and report the simulation results of a novel congestion control strategy based on the principles of fuzzy logic control for the management of ABR traffic in ATM LANs. We propose that fuzzy logic control is an effective scheme for designing congestion control mechanisms in ATM LANs. Our simulations show that, proposed fuzzy backward congestion notification (FBCN) method is effective in minimizing cell losses at the switch queues and prevents time consuming packet retransmissions which can dramatically degrade the network throughput.