超越共存:利用WiFi空白空间实现Zigbee性能保证

Jun Huang, G. Xing, Gang Zhou, Ruogu Zhou
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引用次数: 302

摘要

近年来,ZigBee技术越来越多地应用于性能敏感型应用,如医院的无线患者监护。然而,由于在未经许可的ISM频段中运行,由于2.4 GHz频段中不断增加的WiFi热点的干扰,ZigBee设备通常会产生不可预测的吞吐量和分组传输比。我们的实证结果表明,尽管WiFi流量中含有丰富的空白空间,但现有的共存机制(如CSMA)对于利用它却令人惊讶地不足。在本文中,我们提出了一种新颖的方法,使ZigBee链路能够在存在严重WiFi干扰的情况下实现可靠的性能。首先,基于对现实网络轨迹的统计分析,我们提出了一个帕累托模型来准确表征WiFi流量中的空白区域。其次,我们对存在WiFi干扰的ZigBee链路的性能进行了分析建模。第三,基于空白空间模型和我们的分析,我们开发了一种新的ZigBee帧控制协议WISE,它可以在链路吞吐量和交付率之间实现理想的权衡。我们在802.11上网本和802.15.4 TelosB笔记本的测试平台上进行了广泛的实验,结果表明,在存在严重WiFi干扰的情况下,WISE分别比B-MAC和最近的可靠传输协议实现了4倍和2倍的性能提升,同时仅产生10.9%和39.5%的开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Beyond co-existence: Exploiting WiFi white space for Zigbee performance assurance
Recent years have witnessed the increasing adoption of ZigBee technology for performance-sensitive applications such as wireless patient monitoring in hospitals. However, operating in unlicensed ISM bands, ZigBee devices often yield unpredictable throughput and packet delivery ratio due to the interference from ever increasing WiFi hotspots in 2.4 GHz band. Our empirical results show that, although WiFi traffic contains abundant white space, the existing coexistence mechanisms such as CSMA are surprisingly inadequate for exploiting it. In this paper, we propose a novel approach that enables ZigBee links to achieve assured performance in the presence of heavy WiFi interference. First, based on statistical analysis of real-life network traces, we present a Pareto model to accurately characterize the white space in WiFi traffic. Second, we analytically model the performance of a ZigBee link in the presence of WiFi interference. Third, based on the white space model and our analysis, we develop a new ZigBee frame control protocol called WISE, which can achieve desired trade-offs between link throughput and delivery ratio. Our extensive experiments on a testbed of 802.11 netbooks and 802.15.4 TelosB motes show that, in the presence of heavy WiFi interference, WISE achieves 4× and 2× performance gains over B-MAC and a recent reliable transmission protocol, respectively, while only incurring 10.9% and 39.5% of their overhead.
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