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Experimental evaluation of large scale WiFi multicast rate control

机译:大规模WiFi组播速率控制的实验评估

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WiFi multicast to very large groups has gained attention as a solution for multimedia delivery in crowded areas. Yet, most recently proposed schemes do not provide performance guarantees and none have been tested at scale. To address the issue of providing high multicast throughput with performance guarantees, we present the design and experimental evaluation of the Multicast Dynamic Rate Adaptation (MuDRA) algorithm. MuDRA balances fast adaptation to channel conditions and stability, which is essential for multimedia applications. MuDRA relies on feedback from some nodes collected via a light-weight protocol and dynamically adjusts the rate adaptation response time. Our experimental evaluation of MuDRA on the ORBIT testbed with over 150 nodes shows that MuDRA outperforms other schemes and supports high throughput multicast flows to hundreds of receivers while meeting quality requirements. MuDRA can support multiple high quality video streams, where 90% of the nodes report excellent or very good video quality.
机译:WiFi组播到非常大的群体已经成为人们在拥挤区域中进行多媒体交付的一种解决方案。然而,最近提出的方案不提供性能保证,并且都没有大规模测试。为了解决为高组播吞吐量提供性能保证的问题,我们提出了组播动态速率自适应(MuDRA)算法的设计和实验评估。 MuDRA在快速适应信道条件和稳定性之间取得了平衡,这对于多媒体应用至关重要。 MuDRA依赖于通过轻量协议收集的一些节点的反馈,并动态调整速率自适应响应时间。我们在具有150个以上节点的ORBIT测试平台上对MuDRA进行的实验评估表明,MuDRA优于其他方案,并支持向数百个接收器的高吞吐量多播流,同时满足质量要求。 MuDRA可以支持多个高质量的视频流,其中90%的节点报告的视频质量非常好。

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