A predictive and robust active queue management for Internet congestion control

Recently many active queue management (AQM) algorithms have been proposed to address performance degradations of end-to-end congestion control. However, these AQM algorithms show weaknesses to detect and control congestion under dynamically changing network situations. In this paper, we propose a predictive and robust AQM algorithm, called proportional-integral-derivative (PID)-controller, using PID feedback control the incipient as well as current congestion adaptively and proactively to dynamically changing network environments. A simulation study over a wide range of IP traffic conditions shows that PID-controller outperforms other AQM algorithms such as random early detection (RED) and proportional-integral (PI) controller in terms of the queue length dynamics, the packet loss rates, and the link utilization.