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JACIII Vol.27 No.3 pp. 346-351
doi: 10.20965/jaciii.2023.p0346
(2023)

Research Paper:

Improved Bottleneck Bandwidth and Round-Trip Propagation Congestion Control Algorithm for Round-Trip Time Fairness

Zhicheng Zhao*,** and Weihua Cao*,**,***,†

*School of Automation, China University of Geosciences
No.388 Lumo Road, Hongshan District, Wuhan 430074, China

**Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems
Wuhan , China

***Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education
Wuhan , China

Corresponding author

Received:
December 20, 2022
Accepted:
January 2, 2023
Published:
May 20, 2023
Keywords:
congestion control, BBR algorithm, RTT fairness
Abstract

Traditional congestion-control algorithms based on packet loss are more favorable for short round-trip time (RTT) flows. However, when the flow occupies the bottleneck bandwidth, the effect of bottleneck bandwidth and round-trip propagation time (BBR) congestion-control algorithm is on contrary. A short RTT flow may become “starved” after multiple iterations, which leads to a significant fairness problem in the BBR. This study analyzed the convergence using the BBR algorithm principle and the effect of RTT on fairness. Thereafter, we proposed an improved algorithm termed BBR-f, constructed an inverse proportional function of RTT, and added a gain function to the congestion window (CWND) gain. A simulation experiment using the ns-3 network simulator platform shows that the algorithm can optimize fairness and improve bottleneck-linked bandwidth utilization. Finally, the Jain fair index was used to evaluate its effectiveness, and a comparison experiment with traditional algorithms was performed to verify the efficiency of the proposed method.

Cite this article as:
Z. Zhao and W. Cao, “Improved Bottleneck Bandwidth and Round-Trip Propagation Congestion Control Algorithm for Round-Trip Time Fairness,” J. Adv. Comput. Intell. Intell. Inform., Vol.27 No.3, pp. 346-351, 2023.
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Last updated on Oct. 01, 2024