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An Empirical Study of Urban 2.4 GHz RF Noise from the Perspective of a Body Sensor Network

机译:来自车身传感器网络的角度的城市2.4 GHz射频噪声的实证研究

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In the 2.4 GHz ISM band RF interference is becoming an ever-increasing problem. While there have been several attempts to mitigate the impact of RF interference on (body) sensor networks, e.g. via frequency hopping, it is often unclear how these solutions perform in different interference environments and when they are actually useful. This is not least due to a lack of knowledge about the characteristics of environmental 2.4 GHz RF noise as perceived by a BSN in realistic scenarios. Such knowledge would, for example, help to better understand the communication challenges in a BSN and derive design decisions for interference mitigation techniques. Our work targets this under explored area: we present the results from an urban measurement campaign, in which a mobile BSN collected about half a billion RF noise samples in various urban environments (park, campus, residential area, shopping street, urban transportation system). Our setup captured the entire 2.4 GHz band, on five different body positions simultaneously. Among other things, our results indicate that WLAN was the dominating source of 2.4 GHz RF noise, significant spectrum activity was typically detected during about 5% of the time, but there is a large variation among the scenarios, and, to detect the presence of RF interference the body position is of no of major importance, however, the difference in interference power measured at two different body positions is not negligible.
机译:在2.4 GHz ISM乐队中,RF干扰正成为一个不断增加的问题。虽然有几次尝试减轻RF干扰对(主体)传感器网络的影响,但例如,通过跳频,通常不清楚这些解决方案如何在不同的干扰环境中执行以及它们实际上有用。这并非最不重要是因为在现实场景中被BSN所感知的环境2.4 GHz RF噪声的特征缺乏了解。例如,这些知识可以帮助更好地了解BSN中的沟通挑战,并导出干扰缓解技术的设计决策。我们的工作目标是在探索区域下的目标:我们介绍了城市测量活动的结果,其中一个移动BSN在各种城市环境中收集了大约五亿射频噪声样品(公园,校园,住宅区,购物街,城市交通系统) 。我们的设置同时捕获了整个2.4 GHz频段,同时在五个不同的身体位置。在其他事情之外,我们的结果表明,WLAN是2.4GHz射频噪声的主导来源,在大约5&#X025期间通常检测到显着的频谱活性;其中的时间,但是场景中存在大的变化,并且为了检测RF干扰的存在,身体位置是没有主要重要性的,然而,在两个不同的身体位置测量的干扰功率的差异是不可忽略的。

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