Improving Control Mechanism at Routers in TCP/IP Network

Authors

  • 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

DOI:

https://doi.org/10.4108/casa.1.1.e6

Keywords:

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

Abstract

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

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Published

05-09-2014

How to Cite

1.
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 Mar. 2];1(1):e6. Available from: https://publications.eai.eu/index.php/casa/article/view/2045