Ensuring QoS with Adaptive Frame Rate and Feedback Control Mechanism in Video Streaming
Video over best-effort packet networks is cumbered by a number of factors including unknown and timevarying bandwidth, delay and losses, as well as many additional issues such as how to fairly share the network resources amongst many flows and how to efficiently perform one-to-many communication for popular content. This research investigates video streaming formats, encoding and compression techniques towards the development and simulation of a rate adaptation model to reduce packet loss. The thrust of this research aimed at enriching and enhancing the quality of video streaming over the wireless network. We developed both mathematical models which were thereafter simulated to depict the need for advancing the existing solution for packet scheduling towards recovery from packet loss and error handling in video streaming.
Keywords: Quantity of Service (QOS), Adaptive Frame Rate, Video Streaming