IRED: An Improved Active Queue Management Algorithm
- 1 Olabisi Onabanjo University, Nigeria
- 2 University of Lagos, Nigeria
- 3 Babcock University, Nigeria
Abstract
Quality of Service (QoS) of Internet routers is still challenged with the issue of congestion. Active Queue Management (AQM) algorithms aimed at improving end-to-end delay of packets by keeping the average queue size small. This objective is yet to be fully accomplished, especially for interactive services. In this study, an AQM algorithm named Improved Random Early Detection (IRED) algorithm based on the popular Random Early Detection (RED) is presented. IRED deploys a combination of a nonlinear and a linear packet dropping functions. Ns-3 simulation performance evaluations proved that IRED effectively controls the average queue size and delay under light and heavy network traffic conditions. Replacing/upgrading the RED algorithm implementation in Internet routers (either software or hardware) requires minimal effort since only the packet dropping probability profile needs to be adjusted.
DOI: https://doi.org/10.3844/jcssp.2022.130.137
Copyright: © 2022 Samuel Oluwatosin Hassan, Adewole Usman Rufai, Samson Ojo Ogunlere, Olujimi Daniel Alao, Lukman Adebayo Ogundele, Michael Olugbenga Agbaje, Aderonke Adelola Adegbenjo and Shade Oluwakemi Kuyoro. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Active Queue Management
- Congestion Control
- End-to-End Delay
- IRED
- Simulation