Oliver Popov

Adaptive active queue management in heterogeneous networks

Queue management and congestion control are important to the robustness and fairness of the Internet. So far, the active queue management (AQM) algorithms show weaknesses to detect and control congestion under dynamically changing network topology. In this paper a new AQM algorithm, termed as an adaptive AQM (AAQM) is proposed to improve on both fairness and congestion control in heterogeneous networks. The performance of AAQM is compared to those ones of Blue, Drop-tail, RED and REM. The results of the simulations show that AAQM is very promising with respect to responsiveness and robustness in time-varying networks