Dude, Are You Approaching Me? Detecting Close Physical Contact via Unlicensed LPWAN Signals
Dude, Are You Approaching Me? Detecting Close Physical Contact via Unlicensed LPWAN Signals
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伙计，你在接近我吗？
DOI：
10.1109/iccworkshops50388.2021.9473769
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Chenglong Shao and Osamu Muta
中科院分区：
文献类型：
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作者：
Chenglong Shao and Osamu Muta
识别两个物体是否紧密物理接触 (CPC) 是各种移动物联网服务（例如车辆接近警报和减少辐射暴露）的基础。传统上，这是通过接近传感器主动传输无线信号并分析物体的反射来实现的。尽管具有可行性，但过去几年见证了仅利用从目标接收到的无线信号的反应式 CPC 检测技术的繁荣。与需要多个天线、专用信号发射器或人工干预的额外工作的现有方法不同，本文提出了 TONARI，一种以反应方式执行的轻松 CPC 检测框架。其中，TONARI首先采用非授权低功耗广域网（LPWAN）技术的代表LoRa作为CPC检测的无线信号。 TONARI 的核心是一个微妙的特征仲裁器，旨在区分不同类型的基于 LoRa chirp 的加性样本幅度序列。 TONARI 还包括 LoRa chirp 映射操作，并根据多个接收到的数据包做出最终决定。实验表明，TONARI在大多数实际情况下可以实现100%的CPC检测准确率。
Recognizing if two objects are in close physical contact (CPC) is the basis of various Internet-of-Mobile-Things services such as vehicle proximity alert and radiation exposure reduction. This is achieved traditionally through proximity sensors that proactively transmit wireless signals and analyze the reflection from an object. Despite its feasibility, the past few years have witnessed the prosperity of reactive CPC detection techniques that merely exploit received wireless signals from a target. Unlike existing approaches entailing additional effort of multiple antennas, dedicated signal emitters, or human intervention, this paper presents TONARI, an effortless CPC detection framework that performs in a reactive manner. Particularly, TONARI is developed firstly with LoRa, the representative of unlicensed Low Power Wide Area Network (LPWAN) technologies, as the wireless signal for CPC detection. At the heart of TONARI lies a subtle feature arbitrator aiming to distinguish different types of LoRa chirp-based additive sample magnitude sequences. TONARI further includes a LoRa chirp mapping operation and makes final decision based on multiple received packets. Experiment shows that TONARI can achieve the CPC detection accuracy of 100% in most practical cases.