Author(s):
1. Misbahul Fajri:
Department of Electrical Engineering, Faculty of Engineering,Universitas Indonesia, Kampus Baru UI, Depok 16424,Indonesia
2. Kalamullah Ramli:
Department of Electrical Engineering, Faculty of Engineering,Universitas Indonesia, Kampus Baru UI, Depok 16424,Indonesia
Abstract:
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 setpoint 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.
Page(s):
69-76
DOI:
DOI not available
Published:
Journal: International Journal of Communication Networks and Information Security, Volume: 12, Issue: 1, Year: 2020
Keywords:
Congestion control
,
Network Traffic
,
Proportional Integral
,
Adaptive controller
,
Active Queue Management
,
Setpoint weighting
References:
References are not available for this document.
Citations
Citations are not available for this document.