A novel self-tuning feedback controller for active queue management supporting TCP flows
Information Sciences: an International Journal
On the deployment of AQM algorithms in the internet
MMACTEE'09 Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
On the stability of AQM algorithms
MMACTEE'09 Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
FQL-RED: an adaptive scalable schema for active queue management
International Journal of Network Management
Design of a multi-model fuzzy controller for AQM
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Analysis of AQM Queues with Queue Size Based Packet Dropping
International Journal of Applied Mathematics and Computer Science - Issues in Advanced Control and Diagnosis
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Active queue management (AQM) policies are those policies of router queue management that allow for the detection of network congestion, the notification of such occurrences to the hosts on the network borders, and the adoption of a suitable control policy. This paper proposes the adoption of a fuzzy proportional integral (FPI) controller as an active queue manager for Internet routers. The analytical design of the proposed FPI controller is carried out in analogy with a proportional integral (PI) controller, which recently has been proposed for AQM. A genetic algorithm is proposed for tuning of the FPI controller parameters with respect to optimal disturbance rejection. In the paper the FPI controller design methodology is described and the results of the comparison with random early detection (RED), tail drop, and PI controller are presented.