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

Ng, Boon Kiong (2006) Active Queue Management Using Non-Linear Adaptive Random Early Detection Mechanism. Masters thesis, Multimedia University.

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Abstract

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.

Item Type: Thesis (Masters)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 05 Aug 2010 03:46
Last Modified: 05 Aug 2010 03:46
URI: http://shdl.mmu.edu.my/id/eprint/1031

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