AMuSe: Large-scale WiFi Video Distribution - Experimentation on the ORBIT Testbed

摘要

Currently, wireless video distribution cannot be provided in crowded venues due to resource limitations. In our recent papers we proposed AMuSe, a scalable system for WiFi multicast video delivery. The system includes a scheme for dynamic selection of a subset of the receivers as feedback nodes and a rate adaptation algorithm MuDRA that maximizes the channel utilization while meeting QoS requirements. We implemented AMuSe in the ORBIT testbed and evaluated its performance with 150-200 nodes. We present a dynamic web-based application that demonstrates the operation of AMuSe based on traces collected on the testbed in several experiments. The application allows to compare the performance of AMuSe with other multicast schemes and evaluate the performance of video delivery.