By Topic

A fuzzy Active Queue Management mechanism for Internet congestion control

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Mohammad Hossien Yaghmaee Moghaddam ; Islamic Azad Univ., Quchan, Iran

Internet “Congestion” occurs when the aggregate demand for a resource (e.g. link bandwidth) exceeds the available capacity of the resource. Resulting effects from such congestion include long delays in data delivery, wasted resources due to lost or dropped packets, and even possible congestion collapse, in which all communication ceases in the entire network. “Congestion control” mechanism, implemented trough “queue management” algorithms, is the key factor to solve this problem keeping networks efficient and reliable from the user's viewpoint. In this paper by using a two input single output fuzzy logic controller we propose a high performance fuzzy adaptive Active Queue Management (AQM) mechanism based on Random Early Detection (RED) algorithm. Using the computer simulation, several trials were performed. All simulation results show that the proposed fuzzy AQM mechanism has better performance than traditional mechanisms.

Published in:

Advanced Computational Intelligence (IWACI), 2010 Third International Workshop on

Date of Conference:

25-27 Aug. 2010