Streaming media transmission technology research based clustering algorithm backpressure

Currently, Large-scale network share high-quality video files bound to result the already scarce resources of wireless network communication in greater pressure . Algorithm backpressure is a control method get from control theory by Tassinlas and Ephremides. In the core network transmission system based routing scheduling scheme is reflected back pressure values. Since backpressure network load balancing algorithm can make the conclusion maximize network utilization, so choose backpressure algorithm as the basic research methods mobile streaming media transmission. Due to the nature of distributed transmission backpressure algorithm, convergence speed is slower, which to some extent, reduce the user streaming media data transmission satisfaction (Quality of Experience, QoE), to address the problem, the paper proposes a cluster-based backpressure algorithm, the algorithm can guarantee optimal network throughput at the same time, speed up the convergence of the network, streaming media data transmission to improve user satisfaction.