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Integrated Random Early Detection for Congestion Control at the Router Buffer

Ahmad Adel Abu-Shareha*
The World Islamic Sciences and Education University (WISE), Amman, Jordan
* Corresponding Author: Ahmad Adel Abu-Shareha. Email:

Computer Systems Science and Engineering 2022, 40(2), 719-734.

Received 06 March 2021; Accepted 01 May 2021; Issue published 09 September 2021


This paper proposed an Integrated Random Early Detection (IRED) method that aims to resolve the problems of the queue-based AQM and load-based AQM and gain the benefits of both using indicators from both types. The arrival factor (e.g., arrival rate, queue and capacity) and the departure factors are used to estimate the congestion through two integrated indicators. The utilized indicators are mathematically calculated and integrated to gain unified and coherent congestion indicators. Besides, IRED is built based on a new dropping calculation approach that fits the utilized congestion indicators while maintaining the intended buffer management criteria, avoiding global synchronization and enhancing the performance. The results showed that IRED, compared to RED, BLUE, ERED, FLRED, EnRED and DcRED, decreased packet delay and loss under various network status. Specifically, the results showed that in heavy and moderate traffic, the proposed IRED method outperformed the state-of-the-art methods in loss and delay by 18% and 10.6%, respectively.


Congestion; random early detection; active queue management

Cite This Article

A. Adel Abu-Shareha, "Integrated random early detection for congestion control at the router buffer," Computer Systems Science and Engineering, vol. 40, no.2, pp. 719–734, 2022.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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