Research Article
Some Improvements on Active Queue Management Mechanism Based on Adaptive Fuzzy Control
@ARTICLE{10.4108/eai.5-11-2015.150607, author={Nguyen Kim Quoc and Vo Thanh Tu and Nguyen Thuc Hai}, title={Some Improvements on Active Queue Management Mechanism Based on Adaptive Fuzzy Control}, journal={EAI Endorsed Transactions on Context-aware Systems and Applications}, volume={2}, number={6}, publisher={EAI}, journal_a={CASA}, year={2015}, month={11}, keywords={Congestion Control, Active Queue Management, Fuzzy Logic}, doi={10.4108/eai.5-11-2015.150607} }- Nguyen Kim Quoc
Vo Thanh Tu
Nguyen Thuc Hai
Year: 2015
Some Improvements on Active Queue Management Mechanism Based on Adaptive Fuzzy Control
CASA
EAI
DOI: 10.4108/eai.5-11-2015.150607
Abstract
Active queue management operates at network nodes to control the number of packets in the queue of nodes, by actively receiving packets when the queue is not full, removing packets when the queue is full or notifying bottlenecks even in the embryonic period of the bottlenecks due to to-be-full queue. In recent years, scientists have used fuzzy logic to improve queue management mechanisms. Overall, these improvements have used Mamdani fuzzy system with a fixed structure with triangular functions for input and output variables, so they do not adapt to the changing state of the network. We propose a adaptive fuzzy control (AFC) model to improve the effectiveness of active queue management mechanisms.
Copyright © 2015 N.K. Quoc et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.