Research On Streaming Media Data Transmission In Mobile Environment

At present, mobile devices which are represented by smart-phone with highability develop rapidly. Mobile devices will soon be the subjects of Internetcommunication, so mobile devices and mobile communication environment willbecome the basic working environment of computing applications in the future.Now the people are very willing to put their shooting video and other media filesshare on the network, and transmit with each other between friends in socialnetwork. The result of sharing massive high quality video files in the networkneed transmit very large amounts of streaming media data in wireless network,which make wireless network communication resources that are in short supplycause greater pressure.How to effectively alleviate the pressure of the wireless communication isan important issue which is not solved at present, the same time to improvequality of experience possibly. A lot of research results are proved: routingscheduling strategy based on back pressure can achieve the largest utilization ofnetwork communication ability, and the conclusion is applicable to solvecommunication bandwidth pressure problems of stream media data upload in thewireless network. So we choose back pressure algorithm as the basic researchmethods of mobile streaming media transmission. In this paper, we do thethorough analysis and research on the back pressure algorithm, transform theback pressure algorithm combined with the characteristics of streaming mediatransmission, and make theoretical analysis and experimental verification for themodified algorithm. The main idea of this paper is described as follows.Firstly, it is likely to lead to the following questions due to the user’s movein the streaming media transmission process in the mobile environment: theestablished connection is interrupted; the effect about data transmission structurebecomes poor or invalid; wireless connection changes more frequently. According to the above problem, the paper proposes the deadline guaranteed backpressure algorithm, and makes theoretical analysis and experimental verificationfor the given algorithm.Secondly, due to distributed transmission characteristics of back pressurealgorithm, the network convergence speed will be slow. It will lead to prolong thetime that wireless network achieves throughput optimal. This paper puts forwardthe back pressure algorithm based on cluster, and the experiment proves thatalgorithm can guarantee the network throughput to achieve the optimal, the sametime that can speed up the convergence speed of the network, and improve usersatisfaction of streaming media data transmission.Finally, in order to limit the impact of streaming media transmission to othertransport the same time take full use of network resources, and reduce theend-to-end transmission delay, the paper studies average hops minimizationproblem guaranteed the optimal network communication capacity at the sametime. It proves that the algorithm can guarantee the network throughput toachieve the optimal, and at the same time reduce the end-to-end transmissiondelay through theory and experiment verification.