用无线信号同时充电和感知，省电98.7%且可自供能。
Towards Battery-Free Wireless Sensing via Radio-Frequency Energy Harvesting
- 利用环境Wi-Fi信号的射频能量作为传感电源
- 在呼吸、动作、手势识别中精度接近传统方案
- 适合长期部署的低功耗智能感知场景
基于Wi-Fi的无线应用已广泛用于日常活动识别与生命体征监测。尽管感知精度高，但高能耗和需定制硬件限制了其大规模部署。本文提出REHSense，一种基于射频（RF）能量采集的节能无线感知方案。该方案不依赖高功耗的Wi-Fi接收器，而是使用商用射频能量采集器作为传感器，利用环境中Wi-Fi信号采集的电压信号实现同步感知与能量采集。我们基于现成商业组件实现了REHSense。对三种细粒度感知任务（呼吸监测、人体活动、手势识别）的大量测试表明，REHSense在不同环境下均能实现与传统方案相当的感知精度，同时将感知功耗降低98.7%，并可从射频能量中最高收获4.5mW电力。
原文摘要 · Abstract (English)
Diverse Wi-Fi-based wireless applications have been proposed, ranging from daily activity recognition to vital sign monitoring. Despite their remarkable sensing accuracy, the high energy consumption and the requirement for customized hardware modification hinder the wide deployment of the existing sensing solutions. In this paper, we propose REHSense, an energy-efficient wireless sensing solution based on Radio-Frequency (RF) energy harvesting. Instead of relying on a power-hungry Wi-Fi receiver, REHSense leverages an RF energy harvester as the sensor and utilizes the voltage signals harvested from the ambient Wi-Fi signals to enable simultaneous context sensing and energy harvesting. We design and implement REHSense using a commercial-off-the-shelf (COTS) RF energy harvester. Extensive evaluation of three fine-grained wireless sensing tasks (i.e., respiration monitoring, human activity, and hand gesture recognition) shows that REHSense can achieve comparable sensing accuracy with conventional Wi-Fi-based solutions while adapting to different sensing environments, reducing the power consumption by 98.7% and harvesting up to 4.5mW of power from RF energy.
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