Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Robust adaptive control
Explicit allocation of best-effort packet delivery service
IEEE/ACM Transactions on Networking (TON)
Fuzzy Control
Overview of Fuzzy-RED in Diff-Serv Networks
Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World
ISCC '01 Proceedings of the Sixth IEEE Symposium on Computers and Communications
A RED function design targeting link utilization and stable queue size behavior
Computer Networks: The International Journal of Computer and Telecommunications Networking
An adaptive virtual queue (AVQ) algorithm for active queue management
IEEE/ACM Transactions on Networking (TON)
Effective control of traffic flow in ATM networks using fuzzy explicit rate marking (FERM)
IEEE Journal on Selected Areas in Communications
IEEE Network: The Magazine of Global Internetworking
A provision-aware fair bandwidth distribution marker algorithm for DiffServ networks
Journal of Network and Computer Applications
Journal of Network and Computer Applications
Wireless sensor networks mobility management using fuzzy logic
Ad Hoc Networks
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This paper, proposes a generic active queue management (AQM) control methodology in TCP/IP networks, based on Fuzzy logic control principles. A simple, effective and efficient non-linear control law is built, using a linguistic model of the system, rather than a traditional mathematical model, which is easily adapted in different network environments (e.g. Best-Effort and Differentiated-Services architectures). We demonstrate, via extensive simulative evaluation, that the proposed Fuzzy control methodology offers inherent robustness with effective control of the system under widely differing operating conditions, without the need to (re)tune any parameters. As demonstrated, this is in contrast with its well-known conventional counterparts A-RED, REM, PI, AVQ for Best-Effort, and two-level PI, RIO for Differentiated-Services based networks, where the proposed approach outperforms all of them both in Best-Effort and Differentiated-Services architecture application scenarios. Furthermore, the proposed approach is applied without any retuning for the two architectures using the same Fuzzy logic controller for both, with the only difference being in the setting of the target queue lengths for different precedence levels in Differentiated-Services.