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IEEE journal of radio frequency identification最新文献

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Real-Time Air Quality Monitoring: A Smart IoT System Using Low-Cost Sensors and 3-D Printing
IF 2.3
IEEE journal of radio frequency identification Pub Date : 2025-02-13 DOI: 10.1109/JRFID.2025.3541816
Ainhoa Osa-Sanchez;Begonya Garcia-Zapirain
{"title":"Real-Time Air Quality Monitoring: A Smart IoT System Using Low-Cost Sensors and 3-D Printing","authors":"Ainhoa Osa-Sanchez;Begonya Garcia-Zapirain","doi":"10.1109/JRFID.2025.3541816","DOIUrl":"https://doi.org/10.1109/JRFID.2025.3541816","url":null,"abstract":"This project developed a portable air quality station housed in a 3D-printed enclosure, designed to streamline data sampling and minimize material use in laboratory settings. With health concerns related to specific gases and particulates, especially for vulnerable populations such as asthmatics and children, this innovation has significant potential for improving public health. The importance of indoor ventilation has been underscored by COVID-19, which is primarily transmitted through airborne particles, highlighting the need for efficient monitoring and risk reduction strategies. The station utilizes open-source Python software, with a Raspberry Pi as the core data collection and storage unit, interfacing with various sensors via GPIO, serial, and I2C connections. The modular design of the device allows users to customize measurements and focus on specific pollutants. Validation through end-user testing confirmed the system’s effectiveness and usability in practical settings. The portable setup offers a cost-effective solution for building air quality networks that address the needs of vulnerable groups. The module demonstrated a high reliability rate of 95.30% in detecting common pollutants, validated through CO2 monitoring in classrooms (with a 90.47% reliability compared to commercial devices) and outdoor air quality assessments (with an 85.63% reliability rate.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"9 ","pages":"65-79"},"PeriodicalIF":2.3,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143489094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IEEE Council on RFID
IF 2.3
IEEE journal of radio frequency identification Pub Date : 2025-01-24 DOI: 10.1109/JRFID.2025.3525893
{"title":"IEEE Council on RFID","authors":"","doi":"10.1109/JRFID.2025.3525893","DOIUrl":"https://doi.org/10.1109/JRFID.2025.3525893","url":null,"abstract":"","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"9 ","pages":"C3-C3"},"PeriodicalIF":2.3,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10852536","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IEEE Journal of Radio Frequency Identification Publication Information
IF 2.3
IEEE journal of radio frequency identification Pub Date : 2025-01-24 DOI: 10.1109/JRFID.2025.3525891
{"title":"IEEE Journal of Radio Frequency Identification Publication Information","authors":"","doi":"10.1109/JRFID.2025.3525891","DOIUrl":"https://doi.org/10.1109/JRFID.2025.3525891","url":null,"abstract":"","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"9 ","pages":"C2-C2"},"PeriodicalIF":2.3,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10852365","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
2024 Index IEEE Journal of Radio Frequency Identification Vol. 8
IF 2.3
IEEE journal of radio frequency identification Pub Date : 2025-01-23 DOI: 10.1109/JRFID.2025.3533676
{"title":"2024 Index IEEE Journal of Radio Frequency Identification Vol. 8","authors":"","doi":"10.1109/JRFID.2025.3533676","DOIUrl":"https://doi.org/10.1109/JRFID.2025.3533676","url":null,"abstract":"","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"865-886"},"PeriodicalIF":2.3,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10851446","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Wireless Anti-Counterfeiting Labels Using RF Oscillators With Graphene Quantum Capacitors
IF 2.3
IEEE journal of radio frequency identification Pub Date : 2025-01-13 DOI: 10.1109/JRFID.2025.3529343
Yichong Ren;Chia-Heng Sun;Chien-Hao Liu;Chung-Tse Michael Wu;Pai-Yen Chen
{"title":"Wireless Anti-Counterfeiting Labels Using RF Oscillators With Graphene Quantum Capacitors","authors":"Yichong Ren;Chia-Heng Sun;Chien-Hao Liu;Chung-Tse Michael Wu;Pai-Yen Chen","doi":"10.1109/JRFID.2025.3529343","DOIUrl":"https://doi.org/10.1109/JRFID.2025.3529343","url":null,"abstract":"We propose here a lightweight, reconfigurable graphene-based physical unclonable function (PUF) for wireless identification and authentication applications. Specifically, the PUF-based anti-counterfeiting label consists of a micro-coil antenna and a graphene quantum capacitor, forming an LC oscillator. Natural fluctuations in the Dirac point and residue charge density of graphene enable each graphene oscillator to have a unique radio-frequency (RF) response (i.e., electromagnetic fingerprint), whose uniqueness and entropy can be further enhanced by exploiting the exceptional point (EP)-based (near-field) wireless interrogation system. These randomized and irreproducible RF responses can be properly discretized and digitized to form a binary bitmap of cryptographic keys. Our simulation results show that PUF keys generated by graphene oscillators can exhibit high uniqueness and randomness, large encoding capacity, as well as reconfigurability enabled by electrostatically or chemically tuning the graphene’s Fermi energy. The proposed PUF-based wireless anti-counterfeiting labels may open a new pathway for the development of lightweight security protocol for radio-frequency identification (RFID), near-field communications (NFC), wireless access control, and Internet-of-things (IoTs), among other wireless applications.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"9 ","pages":"38-45"},"PeriodicalIF":2.3,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Novel Electromagnetic Field Confinement Device Based on SIW Technology for RFID Near-Field Applications
IF 2.3
IEEE journal of radio frequency identification Pub Date : 2025-01-02 DOI: 10.1109/JRFID.2025.3525543
Álvaro Jaque;Gerard Zamora;Jordi Bonache
{"title":"Novel Electromagnetic Field Confinement Device Based on SIW Technology for RFID Near-Field Applications","authors":"Álvaro Jaque;Gerard Zamora;Jordi Bonache","doi":"10.1109/JRFID.2025.3525543","DOIUrl":"https://doi.org/10.1109/JRFID.2025.3525543","url":null,"abstract":"In this paper, a slotted waveguide structure based on SIW technology is presented as a near-field RFID reader antenna. The structure enables the control of electromagnetic field decay with distance. A prototype that operates within the EPC Gen2 protocol was implemented. The imposed decay factor was achieved as 1 dB/cm at 867 MHz and 2 dB/cm at 915 MHz. The structure was fabricated using a Rogers RO3010 substrate, with silver ink applied to the edges of the SIW. A comparison between theoretical predictions and experimental electric field decay in the broadside direction is presented, demonstrating a high degree of agreement between them. Additionally, S-parameters are provided, illustrating excellent impedance matching across the entire bandwidth. The system’s functionality was verified by connecting the device to a Motorola FX7500 RFID reader and testing the read range with a commercial tag oriented and placed in various positions along the structure.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"9 ","pages":"32-37"},"PeriodicalIF":2.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10820536","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Design and Evaluation of a Universal IoT Datalogger
IF 2.3
IEEE journal of radio frequency identification Pub Date : 2024-12-30 DOI: 10.1109/JRFID.2024.3524125
Josip Šabić;Ivan Marasović;Mattia Ragnoli;Petar Šolić
{"title":"Design and Evaluation of a Universal IoT Datalogger","authors":"Josip Šabić;Ivan Marasović;Mattia Ragnoli;Petar Šolić","doi":"10.1109/JRFID.2024.3524125","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3524125","url":null,"abstract":"Currently, monitoring systems in various fields rely on commercial technologies that can be costly and, more critically, lack integration with remote management solutions. These systems often present accessibility challenges for researchers and professionals who require data collection for in-depth analysis. In addition, the deployment of sensing devices within more complex networks can be difficult, hindering the scalability and effectiveness of these technologies. This work presents a flexible smart multitechnological datalogger based on an Internet of Things (IoT) structure that utilizes numerous Low Power Wide Area Network solutions, allowing remote analysis of the phenomenon and reducing the installation and management complexity. The designed system was developed at a lower cost than state-of-the-art dataloggers and tested in the hydric monitoring scenario. The results indicate that the system can sustain remote monitoring operations for a significant duration without frequent battery replacements, making it suitable for applications that require extended autonomous deployments.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"9 ","pages":"54-64"},"PeriodicalIF":2.3,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Authentication by Intelligent Learning: A Novel Hybrid Deep Learning/Machine-Learning Radio Frequency Fingerprinting Scheme
IF 2.3
IEEE journal of radio frequency identification Pub Date : 2024-12-26 DOI: 10.1109/JRFID.2024.3523234
Tasnim Nizar Al-Qabbani;Gabriele Oligeri;Marwa Qaraqe
{"title":"Authentication by Intelligent Learning: A Novel Hybrid Deep Learning/Machine-Learning Radio Frequency Fingerprinting Scheme","authors":"Tasnim Nizar Al-Qabbani;Gabriele Oligeri;Marwa Qaraqe","doi":"10.1109/JRFID.2024.3523234","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3523234","url":null,"abstract":"LoRa technology, widely used in the Internet of Things (IoT) domain, faces challenges with traditional cryptographic authentication methods due to power constraints and computing overhead. Radio Frequency Fingerprinting (RFFI) emerges as a low-cost, low-power solution. In this paper, we propose a novel RFFI method for authenticating LoRa devices, which combines deep learning (DL) features and supervised machine learning (ML) for classification. We examine authentication performance across multiple LoRa Spreading Factors (SFs) and assess the hybrid DL/ML approach. Moreover, we introduce a novel IQ sample transformation method by utilizing the histogram of the IQ samples and the 3D image channels. Among the DL models explored, the SwinTransformer (ST) and Few Shots Learning (FSL) models stand out. Experimental results show that our system achieves 97.5% accuracy with reduced complexity compared to the baseline schemes.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"9 ","pages":"17-31"},"PeriodicalIF":2.3,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Guest Editorial of the Special Issue on the 3rd IEEE International Conference on Digital Twins and Parallel Intelligence (IEEE DTPI 2023) 第三届IEEE数字孪生与并行智能国际会议（IEEE DTPI 2023）特刊特邀评论
IF 2.3
IEEE journal of radio frequency identification Pub Date : 2024-12-19 DOI: 10.1109/JRFID.2024.3515612
Yutong Wang;Xiao Wang;Gisele Bennett;Fei-Yue Wang
{"title":"Guest Editorial of the Special Issue on the 3rd IEEE International Conference on Digital Twins and Parallel Intelligence (IEEE DTPI 2023)","authors":"Yutong Wang;Xiao Wang;Gisele Bennett;Fei-Yue Wang","doi":"10.1109/JRFID.2024.3515612","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3515612","url":null,"abstract":"","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"860-864"},"PeriodicalIF":2.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10807749","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142875130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analyzing the Scalability of Bi-Static Backscatter Networks for Large Scale Applications
IF 2.3
IEEE journal of radio frequency identification Pub Date : 2024-12-11 DOI: 10.1109/JRFID.2024.3514454
Kartik Patel;Junbo Zhang;John Kimionis;Lefteris Kampianakis;Michael S. Eggleston;Jinfeng Du
{"title":"Analyzing the Scalability of Bi-Static Backscatter Networks for Large Scale Applications","authors":"Kartik Patel;Junbo Zhang;John Kimionis;Lefteris Kampianakis;Michael S. Eggleston;Jinfeng Du","doi":"10.1109/JRFID.2024.3514454","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3514454","url":null,"abstract":"Backscatter radio is a promising technology for low-cost and low-power Internet-of-Things (IoT) networks. The conventional monostatic backscatter radio is constrained by its limited communication range, which restricts its utility in wide-area applications. An alternative bi-static backscatter radio architecture, characterized by a dis-aggregated illuminator and receiver, can provide enhanced coverage and, thus, can support wide-area applications. In this paper, we analyze the scalability of the bi-static backscatter radio for large-scale wide-area IoT networks consisting of a large number of unsynchronized, receiver-less tags. We introduce the Tag Drop Rate (TDR) as a measure of reliability and develop a theoretical framework to estimate TDR in terms of the network parameters. We show that under certain approximations, a small-scale prototype can emulate a large-scale network. We then use the measurements from experimental prototypes of bi-static backscatter networks (BNs) to refine the theoretical model. Finally, based on the insights derived from the theoretical model and the experimental measurements, we describe a systematic methodology for tuning the network parameters and identifying the physical layer design requirements for the reliable operation of large-scale bi-static BNs. Our analysis shows that even with a modest physical layer requirement of bit error rate (BER) 0.2, 1000 receiver-less tags can be supported with 99.9% reliability. This demonstrates the feasibility of bi-static BNs for large-scale wide-area IoT applications.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"9 ","pages":"6-16"},"PeriodicalIF":2.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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