REHSense : Towards Battery-Free Wireless Sensing via Radio Frequency Energy Harvesting
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | MobiHoc '24: Proceedings of the 2024 International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 211-220 |
| Number of pages | 10 |
| ISBN (print) | 979-8-4007-0521-2 |
| Publication status | Published - 2024 |
Publication series
| Name | Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc) |
|---|
Conference
| Title | 25th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc ’24) |
|---|---|
| Location | Titania Hotel Athens |
| Place | Greece |
| City | Athens |
| Period | 14 - 17 October 2024 |
Link(s)
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 recognition, 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 of sensing by 98.7% and harvesting up to 4.5mW of power from RF energy. © 2024 Copyright held by the owner/author(s).
Research Area(s)
- RF energy harvesting, Battery-free, Wireless sensing
Bibliographic Note
Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).
Citation Format(s)
REHSense: Towards Battery-Free Wireless Sensing via Radio Frequency Energy Harvesting. / Ni, Tao; Sun, Zehua; Han, Mingda et al.
MobiHoc '24: Proceedings of the 2024 International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing. New York: Association for Computing Machinery (ACM), 2024. p. 211-220 (Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)).
MobiHoc '24: Proceedings of the 2024 International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing. New York: Association for Computing Machinery (ACM), 2024. p. 211-220 (Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
