Research Article Open Access

IRED: An Improved Active Queue Management Algorithm

Samuel Oluwatosin Hassan1, Adewole Usman Rufai2, Samson Ojo Ogunlere3, Olujimi Daniel Alao3, Lukman Adebayo Ogundele1, Michael Olugbenga Agbaje3, Aderonke Adelola Adegbenjo3 and Shade Oluwakemi Kuyoro3
  • 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.

Journal of Computer Science
Volume 18 No. 3, 2022, 130-137

DOI: https://doi.org/10.3844/jcssp.2022.130.137

Submitted On: 25 August 2021 Published On: 28 March 2022

How to Cite: Hassan, S. O., Rufai, A. U., Ogunlere, S. O., Alao, O. D., Ogundele, L. A., Agbaje, M. O., Adegbenjo, A. A. & Kuyoro, S. O. (2022). IRED: An Improved Active Queue Management Algorithm. Journal of Computer Science, 18(3), 130-137. https://doi.org/10.3844/jcssp.2022.130.137

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Keywords

  • Active Queue Management
  • Congestion Control
  • End-to-End Delay
  • IRED
  • Simulation