<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The congestion problem at the router buffer leads to serious consequences on network performance. Active Queue Management (AQM) has been developed to react to any possible congestion at the router buffer at an early stage. The limitation of the existing fuzzy-based AQM is the utilization of indicators that do not address all the performance criteria and quality of services required. In this paper, a new method for active queue management is proposed based on using the fuzzy logic and multiple performance indicators that are extracted from the network performance metrics. These indicators are queue length, delta queue and expected loss. The simulation of the proposed method show that in high traffic load, the proposed method preserves packet loss, drop packet only when it is necessary and produce a satisfactory delay that outperformed the state-of-the-art AQM methods.</p>
</abstract>

The congestion problem at the router buffer leads to serious consequences on network performance. Active Queue Management (AQM) has been developed to react to any possible congestion at the router buffer at an early stage. The limitation of the existing fuzzy-based AQM is the utilization of indicators that do not address all the performance criteria and quality of services required. In this paper, a new method for active queue management is proposed based on using the fuzzy logic and multiple performance indicators that are extracted from the network performance metrics. These indicators are queue length, delta queue and expected loss. The simulation of the proposed method show that in high traffic load, the proposed method preserves packet loss, drop packet only when it is necessary and produce a satisfactory delay that outperformed the state-of-the-art AQM methods.

Fuzzy-Logic Based Active Queue Management Using Performance Metrics Mapping into Multi-Congestion Indicators

Department of Networks and Information Security

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The congestion problem at the router buffer leads to serious consequences on network performance. Active Queue Management (AQM) has been developed to react to...

Fuzzy-Logic Based Active Queue Management Using Performance Metrics Mapping into Multi-Congestion Indicators

Online veröffentlicht: 01. Juli 2021

Seitenbereich: 29 - 44

Eingereicht: 17. Nov. 2020

Akzeptiert: 23. Feb. 2021

DOI: https://doi.org/10.2478/cait-2021-0017

Schlüsselwörter
Congestion control, network performance, active queue management, fuzzy logic

© 2021 Mosleh M. Abualhaj et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Fuzzy-Logic Based Active Queue Management Using Performance Metrics Mapping into Multi-Congestion Indicators

Online veröffentlicht: 01. Juli 2021

Seitenbereich: 29 - 44

Eingereicht: 17. Nov. 2020

Akzeptiert: 23. Feb. 2021

DOI: https://doi.org/10.2478/cait-2021-0017

SchlüsselwörterCongestion control, network performance, active queue management, fuzzy logic

© 2021 Mosleh M. Abualhaj et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Congestion control, network performance, active queue management, fuzzy logic