Interval type-2 fuzzy logic congestion control for video streaming across IP networks

streaming Intelligent congestion control is vital in encoded video streaming of a clip or film, as network traffic volatility re-quires constant adjustment of the bit-rate. Equation-based solutions to congestion control are prone to fluctuations in the delivery rate and may respond only when packet loss has already occurred, while both fluctuations and packet loss affect the end-user’s perception of the delivered video. A type-1 fuzzy logic controller can operate at video display rates and can cope with uncertainties in packet delay mea-surements but this paper proposes an interval type-2 fuzzy logic congestion controller, as this has the ability to antici-pate un-modeled network states, besides potentially reduc-ing training time prior to deployment. The paper demon-strates an order of magnitude improvement in delivered video quality using type-2 fuzzy logic in respect to type-1 logic, when the control inputs are subject to noise, and reduced packet loss compared to an equation-based con-troller.