Active Queue Management Using Non-Linear Adaptive Random Early Detection Mechanism

This thesis proposes a new Active Queue Management(AQM) algorithm called POWer Adaptive Random Early Detection (POWARED) for the Internet congestion control. POWARED uses non-linear control function to adaptively maintain the average queue size of router's buffer at a specific target queue size...

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Bibliographic Details
Main Author:	Ng, Boon Kiong
Format:	Thesis
Published:	2006
Subjects:	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
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id	my-mmu-ep.1031
record_format	uketd_dc
spelling	my-mmu-ep.10312010-08-05T03:46:09Z Active Queue Management Using Non-Linear Adaptive Random Early Detection Mechanism 2006-07 Ng, Boon Kiong TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television This thesis proposes a new Active Queue Management(AQM) algorithm called POWer Adaptive Random Early Detection (POWARED) for the Internet congestion control. POWARED uses non-linear control function to adaptively maintain the average queue size of router's buffer at a specific target queue size in which the queue system achieves its steady-state condition. By consistently driving the average queue size of the buffer to oscillate around the system's equilibrium operating point, the performance of the overall network is enhanced. Based on simulation results, we observed significant improvement in terms of link utilization , packet loss rates and average delay for the router deploying POWARED compared to the router using traditional Drop-Tail or other existing AQM algorithms. 2006-07 Thesis http://shdl.mmu.edu.my/1031/ http://myto.perpun.net.my/metoalogin/logina.php masters Multimedia University Research Library
institution	Multimedia University
collection	MMU Institutional Repository
topic	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
spellingShingle	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television Ng, Boon Kiong Active Queue Management Using Non-Linear Adaptive Random Early Detection Mechanism
description	This thesis proposes a new Active Queue Management(AQM) algorithm called POWer Adaptive Random Early Detection (POWARED) for the Internet congestion control. POWARED uses non-linear control function to adaptively maintain the average queue size of router's buffer at a specific target queue size in which the queue system achieves its steady-state condition. By consistently driving the average queue size of the buffer to oscillate around the system's equilibrium operating point, the performance of the overall network is enhanced. Based on simulation results, we observed significant improvement in terms of link utilization , packet loss rates and average delay for the router deploying POWARED compared to the router using traditional Drop-Tail or other existing AQM algorithms.
format	Thesis
qualification_level	Master's degree
author	Ng, Boon Kiong
author_facet	Ng, Boon Kiong
author_sort	Ng, Boon Kiong
title	Active Queue Management Using Non-Linear Adaptive Random Early Detection Mechanism
title_short	Active Queue Management Using Non-Linear Adaptive Random Early Detection Mechanism
title_full	Active Queue Management Using Non-Linear Adaptive Random Early Detection Mechanism
title_fullStr	Active Queue Management Using Non-Linear Adaptive Random Early Detection Mechanism
title_full_unstemmed	Active Queue Management Using Non-Linear Adaptive Random Early Detection Mechanism
title_sort	active queue management using non-linear adaptive random early detection mechanism
granting_institution	Multimedia University
granting_department	Research Library
publishDate	2006
_version_	1747829241884442624

Active Queue Management Using Non-Linear Adaptive Random Early Detection Mechanism

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