Data Stream Media Compression and Transmission Framework for Intelligent Communication Equipment Based on Android System

Data stream media compression and transmission framework for intelligent communication equipment based on the Android system is implemented in this paper. We analyzed the transmission and error recovery strategies of MPEG streams based on RTP, established an experimental model, and analyzed the role of the flap protocol in MPEG video stream transmission. The congestion control mechanism of core streaming media transmission is usually closed-loop control. The receiving end is responsible for congestion detection. If congestion occurs, it is fed back to the sending end. The sending end adjusts the sending speed according to the feedback. Because the network is dynamically changing, the route chosen by each packet may be different, so the time delay to reach the client will be different, even It is possible to send the first data packet later. Based on this characteristic, we enhance the Android to assist creating the robust and efficient system. The simulation has proven that the designed system has the better transmission efficiency.