TY  - JOUR
AU  - Hassan, Samuel Oluwatosin 
AU  - Rufai, Adewole Usman 
AU  - Ogunlere, Samson Ojo 
AU  - Alao, Olujimi Daniel 
AU  - Ogundele, Lukman Adebayo 
AU  - Agbaje, Michael Olugbenga 
AU  - Adegbenjo, Aderonke Adelola 
AU  - Kuyoro, Shade Oluwakemi 
PY  - 2022
TI  - IRED: An Improved Active Queue Management Algorithm
JF  - Journal of Computer Science
VL  - 18
IS  - 3
DO  - 10.3844/jcssp.2022.130.137
UR  - https://thescipub.com/abstract/jcssp.2022.130.137
AB  - 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.