Improving Control Mechanism at Routers in TCP/IP Network


  • Nguyen Kim Quoc Trường ĐH Nguyễn Tất Thành image/svg+xml
  • Vo Thanh Tu Hue University image/svg+xml
  • Nguyen Thuc Hai Ha Noi University of Science and Technology



Congestion Control, Active Queue Management, Fuzzy Logic, Neural Network


The existing control mechanisms at the network nodes have a good active and very effective at each local router, but they do not still strong enough to control nonlinear and dynamical behaviour of the network. Therefore, the control system requirements must be designed to be flexible to fully grasp the important status information of the variation and intelligent control methods to control network congestion in nonlinear network. To solve this problem, we propose a solution combined fuzzy reasoning with neural network control put on active queue management mechanisms at the network nodes




How to Cite

Kim Quoc N, Thanh Tu V, Thuc Hai N. Improving Control Mechanism at Routers in TCP/IP Network. EAI Endorsed Trans Context Aware Syst App [Internet]. 2014 Sep. 5 [cited 2024 Jun. 18];1(1):e6. Available from: