The Internet has grown into a large cyber-physical system centered that connects not just computer systems but a plethora of systems, devices, and objects, collectively referred to as "Things", giving rise to the term "Internet of Things" (IoT). It encompasses technologies for identification and tracking, sensing and actuation, both wired and wireless communications, and also, intelligence and cognition. Wireless communications, which is an integral part of IoT, suffers from radio irregularity -- a phenomenon referring to radio waves being selectively absorbed, reflected or scattered by objects in their paths, e.g., human bodies that comprises liquid, bone and flesh. Radio irregularity is often regarded as a problem in wireless communications but, with the envisioned pervasiveness of IoT, we aim to exploit radio irregularity as a means to detect and estimate the number of people. We demonstrate how radio signal fluctuations arising from radio irregularity, combined with discriminant analysis, can be used to provide a simple low-cost alternative to dedicated sensing systems for indoor people counting.

中文翻译：

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在无线传感器网络中使用无线电不规则性进行人数统计——一项实验研究

互联网已经发展成为一个以网络物理系统为中心的大型网络物理系统，它不仅连接计算机系统，还连接大量系统、设备和对象，统称为“事物”，从而产生了“物联网”（IoT）一词. 它包括用于识别和跟踪、传感和驱动、有线和无线通信以及智能和认知的技术。无线通信是物联网不可或缺的一部分，但存在无线电不规则性——这种现象是指无线电波被路径中的物体选择性吸收、反射或散射，例如由液体、骨头和肉组成的人体。无线电不规则通常被认为是无线通信中的一个问题，但随着物联网的普及，我们的目标是利用无线电不规则性作为检测和估计人数的一种手段。我们展示了如何使用无线电不规则引起的无线电信号波动与判别分析相结合，为室内人数统计的专用传感系统提供一种简单的低成本替代方案。