Adaptive active queue management based on queue ratio of set-point weighting

Misbahul Fajri, Kalamullah Ramli

Research output: Contribution to journalArticlepeer-review


Presently, active queue management (AQM) is one of the important considerations in communication networks. The challenge is to make it simple and robust in bursty traffic and uncertain network conditions. This paper proposes a new AQM scheme, an adaptive ratio proportional integral (ARPI), for adaptively controlling network congestion in dynamic network traffic conditions. First, AQM was designed by adding a set-point weighting structure to a proportional integral (PI) controller to reduce the burstiness of network traffic. Second, an adaptive set-point weighting based on the ratio of instantaneous queue length to the set-point queue and the buffer size was proposed to improve the robustness of a non-linear network. The proposed design integrates the aforementioned expectations into one function and needs only one parameter change to adapt to fluctuating network condition. Hence, this scheme provides lightweight computation and simple software and hardware implementation. This approach was analyzed and compared with the PI AQM scheme. Evaluation results demonstrated that our proposed AQM can regulate queue length with a fast response, good stability under any traffic conditions, and small queuing delay.

Original languageEnglish
Pages (from-to)69-76
Number of pages8
JournalInternational Journal of Communication Networks and Information Security
Issue number1
Publication statusPublished - 2020


  • Active queue management
  • Adaptive controller
  • Congestion control
  • Network traffic
  • Proportional integral
  • Set-point weighting


Dive into the research topics of 'Adaptive active queue management based on queue ratio of set-point weighting'. Together they form a unique fingerprint.

Cite this