Delay and Loss Fuzzy Controlled Video over Ip Networks

The performance of rate adaptive multimedia streaming applications is impacted by the accuracy of determining the level of network congestion, and by the control mechanism used to adapt the sending rate to the available network bandwidth. The focus of this paper is on the use of fuzzy logic for congestion avoidance and control of networked video, in combination of using delay as a network congestion level indicator, and packet loss as an indicator of full blown congestion. It is shown through simulation results that using delay to gauge the level of network congestion, and packet loss to signal full blown congestion, in combination with fuzzy logic control, can enhance the performance of video streaming, under varying network congestion states. Furthermore, it is shown that this scheme enables rate adaptive video streaming applications to optimally adapt to the available network bandwidth.