Abstract
RFID shows great potentials to build useful sensing applications. However, current RFID sensing can obtain mainly a single-dimensional sensing measurement from each reader-to-tag query, such as phase, RSS, etc. This is sufficient to fulfill the designs that are bound to the tag’s movement, e.g., the localization of tags. However, it imposes inevitable uncertainty on many sensing tasks relying on the features extracted from the RFID signals. These traditional sensing measurements limit the fidelity of RFID sensing fundamentally and prevent its broader usage in more sophisticated sensing scenarios. This paper presents RF-Wise to push the limit of RFID-based sensing, motivated by an insightful observation to customize RFID signals. RF-Wise can enrich the existing single-dimensional feature measure to a channel state information (CSI)-like measure with up to 150-dimensional samples across different frequencies concurrently. More importantly, RF-Wise is a software solution atop the standard EPC Gen2 protocol without using any extra hardware. It requires only one tag for sensing and works within the ISM band. RF-Wise, so far as we know, is the first system of such a kind. Extensive experiments show that RF-Wise does not impact underlying RFID communications, while by using the features extracted by RF-Wise, applications’ sensing performance can be improved remarkably. The source codes of RF-Wise are available at https://cui-zhao.github.io/RF-WISE/. © 2024 IEEE.
| Original language | English |
|---|---|
| Pages (from-to) | 3591-3605 |
| Number of pages | 15 |
| Journal | IEEE/ACM Transactions on Networking |
| Volume | 32 |
| Issue number | 4 |
| Online published | 6 May 2024 |
| DOIs | |
| Publication status | Published - Aug 2024 |
Funding
This work was supported by the GRF grant from Hong Kong RGC (CityU 11217420 and CityU 11213622), the NSFC Grant No.62302383, 62372365, 62176205, 62072367, project funded by China Postdoctoral Science Foundation No.2023M742792, and Yong top talent in XJTU JS6J003.
Research Keywords
- Internet of Things
- RFID
- wireless sensing
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Zhao, C., Li, Z., Ding, H., Wang, G., Xi, W., & Zhao, J. (2024). Enabling Multi-Frequency and Wider-band RFID Sensing using COTS Device. IEEE/ACM Transactions on Networking. Advance online publication. https://doi.org/10.1109/tnet.2024.3394974
RGC Funding Information
- RGC-funded
Fingerprint
Dive into the research topics of 'Enabling Multi-Frequency and Wider-band RFID Sensing using COTS Device'. Together they form a unique fingerprint.-
GRF: A Trinity Platform with Synthesized mmWaves for Human Motion Sensing
LI, Z. (Principal Investigator / Project Coordinator) & Zhang, J. (Co-Investigator)
1/09/22 → …
Project: Research
-
GRF: Tracking 3D Hand Pose Using Wearable Armband
LI, Z. (Principal Investigator / Project Coordinator)
1/01/21 → 24/03/25
Project: Research
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver