HackerPapers

arXiv:2409.00086cs.NI

Towards Battery-Free Wireless Sensing via Radio-Frequency Energy Harvesting

Tao Ni, Zehua Sun, Mingda Han, Guohao Lan, Yaxiong Xie, Zhenjiang Li, Tao Gu, Weitao Xu

HN submission. Found in a submission link or body. Submitters do not count as commenters in the main ranking; a submission is not an endorsement.

Abstract

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.

arXiv comments
Journal reference
DOI
Subjects
cs.NINetworking and Internet Architecture cs.ARHardware Architecture cs.HCHuman-Computer Interaction cs.LGMachine Learning eess.SYSystems and Control (EESS)

On Hacker News

No comments linking this paper were found in the collected sources. Found in 1 HN submission from Sep 2024 to Sep 2024. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments0 threads

No comments linking this paper were found in the collected sources. Open submission discussions.

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.