Adaptive Fuzzy Active Queue Management

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, an adaptive fuzzy AQM is designed to congestion avoidance in TCP/AQM networks. This kind of control action has robust performance, which is suitable for time varying and complex systems such as computer and communication networks. A candidate Lyapunov function is employed in the adaptive law synthesis to ensure convergence.