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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics
Theophilus Aniemeka Enem
Air Force Institute of Technology
Computer Science & IT Electrical & Electronics Engineering

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Random early detection-quadratic linear: an enhanced active queue management algorithm Samuel Oluwatosin Hassan; Vivian Ogochukwu Nwaocha; Adewole Usman Rufai; Tola John Odule; Theophilus Aniemeka Enem; Lukman Adebayo Ogundele; Suleiman Abu Usman
Bulletin of Electrical Engineering and Informatics Vol 11, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i4.3875

Abstract

This paper identifies the lone linear drop function for computing the dropping probability between certain queue threshold values as a major weakness for the random early detection (RED) algorithm as it leads to large delay and queue instability. To address this concern, we propose an enhanced RED-based algorithm called random early detection-quadratic linear (referred to as “RED-QL”) active queue management (AQM) which leveraged the benefit of a quadratic packet drop function for a light-to moderate traffic load conditions together with a linear packet drop function for a heavy traffic load condition respectively. Results from ns-3 network simulator using different experimental scenarios clearly reveals that the proposed RED-QL algorithm yields a substantial reduction in delay performance and indeed a reduced average queue size than other three representative AQM algorithms. RED-QL is robust, easy to implement and deploy in routers (both in software and hardware) as no more than the packet drop probability profile of the classic RED’s algorithm implementation needs modest alteration.
Quadratic exponential random early detection: a new enhanced random early detection-oriented congestion control algorithm for routers Samuel Oluwatosin Hassan; Adewole Usman Rufai; Vivian Ogochukwu Nwaocha; Samson Ojo Ogunlere; Aderonke Adelola Adegbenjo; Michael Olugbenga Agbaje; Theophilus Aniemeka Enem
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 1: February 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i1.pp669-679

Abstract

Network congestion is still a problem on the internet. The random early detection (RED) algorithm being the most notable and widely implemented congestion algorithm in routers faces the problems of queue instability and large delay arising from the presence of an ineffectual singular linear packet dropping function. This research article presents a refinement to RED, named quadratic exponential random early detection (QERED) algorithm, which exploits the advantages of two drop functions, namely quadratic and exponential in order to enhance the performance of RED algorithm. ns-3 simulation studies using various traffic load conditions to assess and benchmark the effectiveness of QERED with two improved variants of RED affirmed that QERED offers a better performance in terms of average queue size and delay metrics at various network scenarios. Fortunately, to replace/upgrade the implementation for RED algorithm with QERED’s in routers will require minimal effort due to the fact that nothing more besides the packet dropping probability profile got to be adjusted.
Co-Authors Aderonke Adelola Adegbenjo Adewole Usman Rufai Lukman Adebayo Ogundele Michael Olugbenga Agbaje Samson Ojo Ogunlere Samuel Oluwatosin Hassan Suleiman Abu Usman Tola John Odule Vivian Ogochukwu Nwaocha