Experimental Evaluation of Large Scale WiFi Multicast Rate Control
Experimental Evaluation of Large Scale WiFi Multicast Rate Control
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DOI：
10.1109/twc.2018.2791605
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发表时间：
2018-01
影响因子：
10.4
通讯作者：
Varun Gupta;Craig L. Gutterman;Yigal Bejerano;G. Zussman
中科院分区：
文献类型：
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作者：
Varun Gupta;Craig L. Gutterman;Yigal Bejerano;G. Zussman
作为在拥挤区域中多媒体递送的解决方案，针对非常大的群组的WiFi多播已经获得关注。然而，最近提出的方案不提供性能保证，也没有一个经过大规模测试。为了解决这个问题，提供高的多播吞吐量的性能保证，我们提出了设计和实验评估的多播动态速率自适应（Muffix）算法。多媒体平衡了对信道条件的快速适应和稳定性，这对于多媒体应用是必不可少的。Musimetry依赖于通过轻量级协议收集的一些节点的反馈，并动态调整RA响应时间。我们的ORBIT测试平台上的超过150个节点的实验评估表明，Muereclipse优于其他计划，并支持高吞吐量的组播流到数百个接收器，同时满足质量要求。music可以支持多个高质量的视频流，其中90%的节点报告优秀或非常好的视频质量。
WiFi multicast to very large groups has gained attention as a solution for multimedia delivery in crowded areas. Yet, the 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 RA 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.