发布求助
文献互助 智能选刊 最新文献

IEEE journal of radio frequency identification最新文献

筛选
英文 中文
Design and Evaluation of a Universal IoT Datalogger 通用物联网数据采集器的设计与评估
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 基于智能学习的身份验证：一种新的混合深度学习/机器学习射频指纹识别方案
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 大规模双静态反向散射网络的可扩展性分析
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
On Mitigating the Mismatch Between FSK Tags and GFSK Receivers in BLE Backscatter 低频段后向散射中FSK标签与GFSK接收机不匹配的缓解研究
IF 2.3
IEEE journal of radio frequency identification Pub Date : 2024-12-09 DOI: 10.1109/JRFID.2024.3514534
Santosh Nagaraj
{"title":"On Mitigating the Mismatch Between FSK Tags and GFSK Receivers in BLE Backscatter","authors":"Santosh Nagaraj","doi":"10.1109/JRFID.2024.3514534","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3514534","url":null,"abstract":"This letter aims to significantly improve the communication performance of Radio Frequency Identification (RFID) tags that transmit to Bluetooth devices. Such tags are increasingly being researched in order to provide the benefits of RFID without the need for expensive stand-alone readers. Strictly speaking, these tags do not generate Bluetooth standards-specified waveforms, but are nevertheless compatible with standards-compliant receivers. Gaussian Frequency Shift Keying (GFSK) transmission is replaced by simpler FSK transmission from the tag. This letter analyzes the mismatch effects when FSK signals are demodulated by GFSK receivers. This letter also describes a new tag signaling technique that generates waveforms better matched to Bluetooth receivers than FSK waveforms. The novel technique can be implemented with tag hardware that can generate classical FSK waveforms. Bit error rate improvement of about 5 dB were observed in simulations. Tag coverage area is nearly doubled.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"9 ","pages":"1-5"},"PeriodicalIF":2.3,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106217","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 IEEE WiSEE 2023 Conference IEEE WiSEE 2023 会议特刊客座编辑
IF 2.3
IEEE journal of radio frequency identification Pub Date : 2024-12-09 DOI: 10.1109/JRFID.2024.3507492
Alessandra Costanzo;Andrea Nardin
{"title":"Guest Editorial of the Special Issue on IEEE WiSEE 2023 Conference","authors":"Alessandra Costanzo;Andrea Nardin","doi":"10.1109/JRFID.2024.3507492","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3507492","url":null,"abstract":"","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"857-859"},"PeriodicalIF":2.3,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10781442","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142797931","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
Enhancing RFID Antenna Electromagnetic Fingerprints Through Non-Linear Interrogation 非线性问询增强RFID天线电磁指纹
IF 2.3
IEEE journal of radio frequency identification Pub Date : 2024-11-29 DOI: 10.1109/JRFID.2024.3509617
Francesca Maria Chiara Nanni;Gaetano Marrocco
{"title":"Enhancing RFID Antenna Electromagnetic Fingerprints Through Non-Linear Interrogation","authors":"Francesca Maria Chiara Nanni;Gaetano Marrocco","doi":"10.1109/JRFID.2024.3509617","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3509617","url":null,"abstract":"Fingerprinting stands as an effective non-intrusive and non-destructive method to ensure physical security in wireless systems and Radio-Frequency Identification (RFID) applications. Conventionally, the most common state of the art approach involves extracting signal features from the devices and employing machine learning techniques for the classification of counterfeit or cloned ones. This paper explores how to enhance RFID antenna electromagnetic fingerprints by proposing a multi-power interrogation approach. Unlike traditional methods, our technique emphasizes the non-linear behavior of RFID integrated circuits (ICs) by properly varying the reader input power and frequencies. This strategy increases the unpredictability of the IC impedance modulation, thereby extracting richer and more complex information from the RFID tags. Using Shannon Information Theory, we can quantify the entropy of these enhanced fingerprints, revealing an average increase of almost 2 bits in the information content compared to single-power level interrogations. Our findings can lay the foundations to implement more robust RF physical unclonable functions (PUFs) with robust physical keys against counterfeiting and replication threats.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"9 ","pages":"46-53"},"PeriodicalIF":2.3,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106212","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
Single-Layer Truncated Patch Antenna With an Inclined I-Slit for Anti-Metal Tag Design 用于防金属标签设计的倾斜i缝单层截断贴片天线
IF 2.3
IEEE journal of radio frequency identification Pub Date : 2024-11-18 DOI: 10.1109/JRFID.2024.3501355
Gene-Jinhan Ng;Muthukannan Murugesh;Eng-Hock Lim;Pei-Song Chee;Jen-Hahn Low;Chun-Hui Tan
{"title":"Single-Layer Truncated Patch Antenna With an Inclined I-Slit for Anti-Metal Tag Design","authors":"Gene-Jinhan Ng;Muthukannan Murugesh;Eng-Hock Lim;Pei-Song Chee;Jen-Hahn Low;Chun-Hui Tan","doi":"10.1109/JRFID.2024.3501355","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3501355","url":null,"abstract":"A simple, single-layer anti-metal tag that is designed using a truncated patch antenna has been proposed. The patch configuration is simple as it only requires the use of two truncated corners and an inclined I-slit as its effective tuning mechanisms, all of which can be easily made on the single surface of a substrate. With the application of the two tuning mechanisms, the tag resonant frequency can be easily tuned by adjusting the geometrical parameters of the truncations and the I-slit, without the involvement of metallic vias/stubs and multiple-layer structures. It makes such a tag convenient for mass manufacturing. The proposed tag has a miniature size (40 mm \u0000<inline-formula> <tex-math>$times $ </tex-math></inline-formula>\u0000 40 mm \u0000<inline-formula> <tex-math>$times 1$ </tex-math></inline-formula>\u0000.6 mm or \u0000<inline-formula> <tex-math>$0.1224lambda times 0.1224lambda times 0.0049$ </tex-math></inline-formula>\u0000<inline-formula> <tex-math>$lambda $ </tex-math></inline-formula>\u0000). It can be effectively read from a distance of \u0000<inline-formula> <tex-math>$sim ~7$ </tex-math></inline-formula>\u0000.5 m (4W Effective isotropic radiated power - EIRP) on metal.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"847-856"},"PeriodicalIF":2.3,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142761431","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
News From CRFID Meetings Guest Editorial of the Special Issue on RFID 2023, SpliTech 2023, and IEEE RFID-TA 2023 CRFID 会议新闻 RFID 2023、SpliTech 2023 和 IEEE RFID-TA 2023 特刊特邀编辑
IF 2.3
IEEE journal of radio frequency identification Pub Date : 2024-11-11 DOI: 10.1109/JRFID.2024.3486488
Luca Catarinucci;Ultan Mc Carthy;Diego Masotti;Simon Hemour
{"title":"News From CRFID Meetings Guest Editorial of the Special Issue on RFID 2023, SpliTech 2023, and IEEE RFID-TA 2023","authors":"Luca Catarinucci;Ultan Mc Carthy;Diego Masotti;Simon Hemour","doi":"10.1109/JRFID.2024.3486488","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3486488","url":null,"abstract":"","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"831-836"},"PeriodicalIF":2.3,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10749840","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600119","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
IoT-Based Integrated Sensing and Logging Solution for Cold Chain Monitoring Applications 基于物联网的冷链监控应用综合传感和记录解决方案
IF 2.3
IEEE journal of radio frequency identification Pub Date : 2024-11-06 DOI: 10.1109/JRFID.2024.3488534
Lalit Kumar Baghel;Radhika Raina;Suman Kumar;Luca Catarinucci
{"title":"IoT-Based Integrated Sensing and Logging Solution for Cold Chain Monitoring Applications","authors":"Lalit Kumar Baghel;Radhika Raina;Suman Kumar;Luca Catarinucci","doi":"10.1109/JRFID.2024.3488534","DOIUrl":"https://doi.org/10.1109/JRFID.2024.3488534","url":null,"abstract":"Effective cold chain management is critical across various sectors to ensure the integrity of temperature-sensitive goods, ranging from pharmaceuticals to perishable produce. A key challenge within this domain is maintaining items within their required temperature range, typically between 2°C to 8°C, to prevent spoilage or loss of effectiveness. This paper introduces a cost-effective, integrated solution that combines sensors, controllers, and memory into a compact, power-efficient, and low-cost commercial Bluetooth-based temperature & humidity data logger. The proposed solution is particularly useful not only in safeguarding food and pharmaceuticals but also plays a crucial role in the specific context of vaccine storage, such as those for COVID-19, which demands rigorous temperature adherence to ensure efficacy during storage and transportation. Unlike existing solutions, the proposed solution is equipped with interactive algorithms that monitor and record real-time temperature & humidity data throughout the distribution chain. It features a groundbreaking seamless data logging capability, allowing for wireless data retrieval via Bluetooth-enabled devices such as mobile phones, computers, or laptops. The development and testing of the proposed solution have been conducted in our laboratory, ensuring end-to-end performance and efficiency that meet the stringent standards set by health organizations, including the World Health Organization (WHO). A comprehensive comparative analysis further validates the proposed design’s accuracy, cost-effectiveness, and power efficiency, demonstrating its potential to enhance cold chain management practices universally.","PeriodicalId":73291,"journal":{"name":"IEEE journal of radio frequency identification","volume":"8 ","pages":"837-846"},"PeriodicalIF":2.3,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645508","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信