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Electronics
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RFID Applied to IoT Devices
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RFID Applied to IoT Devices

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 15 May 2025 | Viewed by 3585

Special Issue Editors

Dr. Renhai Feng

E-Mail Website
Guest Editor
School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Interests: RFID; wireless communication; intelligent distribution power big data cloud computing technology; optimization; visible light communication
Dr. Leijiao Ge

E-Mail Website
Guest Editor
School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Interests: intelligent distribution networks; new energy grid integration; microgrids
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Advancements in the design and manufacturing of Radio-Frequency Identification (RFID) systems have fostered the evolution of passive tags from very simple identification transponders, e.g., that are used in the supply chain, to general-purpose battery-less “computing” devices, enhanced with “sensing” and “data-logging” capabilities. Nowadays, RFID systems have the potential to substitute or complement existing wireless sensor networks (WSNs) because of their small size, low-power, and very cost-effective identification mechanisms. They may bring undisputed benefits to various IoT application scenarios, where networked tags with sensing and computing capabilities create smart environments, such as in enhanced supply chain, factory automation, smart-home, smart-city, and personal healthcare scenarios. In spite of that, we are pleased to announce that this Special Issue, ‘RFID Applied to IoT Devices’, is now compiling a collection of papers submitted by the outstanding scholars in this research field. We welcome contributions as well as recommendations.

Our intention is for the Special Issue to highlight the diversity of the research lines currently in practice through specific works to help identify new and undiscovered research questions and establish novel collaborations between the extensive scientific community that is interested in RFIDs. Both original research and review papers are welcome! We expect these papers to be widely read and highly influential within the field.

Topics of interest include, but are not limited to, the following:

  • RFID application on sensing systems;
  • RFID antenna design;
  • RFID reader design;
  • RFID protocol design;
  • RFID application on power grid;
  • RFID localization;
  • RFID tag array;
  • RFID application on supply chain;
  • RFID security.

Dr. Renhai Feng
Dr. Leijiao Ge
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • RFID
  • sensing system
  • power grid
  • localization
  • tag array
  • wearable electronic
  • supply chain
  • antenna
  • measurement
  • management
  • security

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Published Papers (4 papers)

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Research

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17 pages, 6147 KiB  
Article
A Fire Detection Method for Aircraft Cargo Compartments Utilizing Radio Frequency Identification Technology and an Improved YOLO Model
by Kai Wang, Wei Zhang and Xiaosong Song
Electronics 2025, 14(1), 106; https://doi.org/10.3390/electronics14010106 - 30 Dec 2024
Viewed by 448
Abstract
During flight, aircraft cargo compartments are in a confined state. If a fire occurs, it will seriously affect flight safety. Therefore, fire detection systems must issue alarms within seconds of a fire breaking out, necessitating high real-time performance for aviation fire detection systems. [...] Read more.
During flight, aircraft cargo compartments are in a confined state. If a fire occurs, it will seriously affect flight safety. Therefore, fire detection systems must issue alarms within seconds of a fire breaking out, necessitating high real-time performance for aviation fire detection systems. In addressing the issue of fire target detection, the YOLO series models demonstrate superior performance in striking a balance between computational efficiency and recognition accuracy when compared with alternative models. Consequently, this paper opts to optimize the YOLO model. An enhanced version of the FDY-YOLO object detection algorithm is introduced in this paper for the purpose of instantaneous fire detection. Firstly, the FaB-C3 module, modified based on the FasterNet backbone network, replaces the C3 component in the YOLOv5 framework, significantly decreasing the computational burden of the algorithm. Secondly, the DySample module is used to replace the upsampling module and optimize the model’s ability to extract the features of small-scale flames or smoke in the early stages of a fire. We introduce RFID technology to manage the cameras that are capturing images. Finally, the model’s loss function is changed to the MPDIoU loss function, improving the model’s localization accuracy. Based on our self-constructed dataset, compared with the YOLOv5 model, FDY-YOLO achieves a 0.8% increase in mean average precision (mAP) while reducing the computational load by 40%. Full article
(This article belongs to the Special Issue RFID Applied to IoT Devices)
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14 pages, 13287 KiB  
Article
Large-Bandwidth Lithium Niobate Electro-Optic Modulator for Frequency-Division Multiplexing RFID Systems
by Xueting Luo, Zhenqian Gu, Chong Wang, Chao Fan and Weijia Zhang
Electronics 2024, 13(24), 5054; https://doi.org/10.3390/electronics13245054 - 23 Dec 2024
Viewed by 580
Abstract
In the face of increasingly complex application scenarios, there is an urgent need for (Radio Frequency Identification) RFID systems that are capable of accurately identifying microwave signals of different frequency bands. Based on the acumen detection characteristics of microwave signals by lithium niobate [...] Read more.
In the face of increasingly complex application scenarios, there is an urgent need for (Radio Frequency Identification) RFID systems that are capable of accurately identifying microwave signals of different frequency bands. Based on the acumen detection characteristics of microwave signals by lithium niobate electro-optic modulators, applying large-bandwidth thin-film lithium niobate electro-optic modulation to RFID systems can achieve efficient operation across multiple frequency bands. This study discusses, in detail, the design, simulation, fabrication, and testing process of the electro-optic modulator to obtain a high-performance, large-bandwidth lithium niobate electro-optic modulator. By using multilayer lithography techniques to prepare thick traveling-wave electrodes, the problem of irregular cross-sections during the fabrication of thick electrodes has been successfully reduced, improving the stability and controllability of the device. Test results show that the insertion loss of the electro-optic modulator is about 6 dB, the extinction ratio is 36.5 dB, the optical waveguide mode field is 1 μm, the full-band characteristic impedance is 50 Ω, the test bandwidth is 50 GHz, and the half-wave voltage is 1.8 V. Compared with existing optimization schemes, this design not only achieves a large bandwidth and a small half-wave voltage, but also proposes a new fabrication process scheme, optimizing the process and resulting in samples with stable performance. Full article
(This article belongs to the Special Issue RFID Applied to IoT Devices)
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15 pages, 3781 KiB  
Article
Digital Twin Modeling for Hydropower System Based on Radio Frequency Identification Data Collection
by Zhi Cai, Yanfeng Wang, Dawei Zhang, Lili Wen, Haiyang Liu, Zhijie Xiong, Khan Wajid and Renhai Feng
Electronics 2024, 13(13), 2576; https://doi.org/10.3390/electronics13132576 - 30 Jun 2024
Cited by 1 | Viewed by 1293
Abstract
The safe and steady operation of hydropower generation systems is crucial for electricity output in the grid. However, hydropower stations have complicated interior structures, making defect detection difficult without disassembly inspections. The application of digital modeling to hydropower stations will effectively promote the [...] Read more.
The safe and steady operation of hydropower generation systems is crucial for electricity output in the grid. However, hydropower stations have complicated interior structures, making defect detection difficult without disassembly inspections. The application of digital modeling to hydropower stations will effectively promote the intelligent transformation of hydropower stations as well as reduce the maintenance costs of the system. This study provides a model of the power generating and transmission system for hydropower plants, with an emphasis on primary equipment and measured data. The model utilizes PSCAD to digitalize state response in hydropower plants with various short-circuit faults. The fault information is identified and learned using the Adaptive Time–Frequency Memory (AD-TFM) deep learning model. It is demonstrated that our proposed method can effectively obtain the fault information through radio frequency identification (RFID). The accuracy of the traditional method is 0.90, while the results for AD-TFM show a fault classification accuracy of 0.92, which is more than enough to identify multiple fault types compared to the existing methods. Full article
(This article belongs to the Special Issue RFID Applied to IoT Devices)
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Review

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22 pages, 4840 KiB  
Review
Multi-Stage Optimal Power Control Method for Distribution Network with Photovoltaic and Energy Storage Considering Grouping Cooperation
by Xiping Ma, Rong Jia, Chen Liang and Rui Xu
Electronics 2024, 13(17), 3415; https://doi.org/10.3390/electronics13173415 - 28 Aug 2024
Cited by 1 | Viewed by 625
Abstract
In view of the current problem of insufficient consideration being taken of the effect of voltage control and the adjustment cost in the voltage control strategy of distribution networks containing photovoltaic (PV) and energy storage (ES), a multi-stage optimization control method considering grouping [...] Read more.
In view of the current problem of insufficient consideration being taken of the effect of voltage control and the adjustment cost in the voltage control strategy of distribution networks containing photovoltaic (PV) and energy storage (ES), a multi-stage optimization control method considering grouping collaboration is proposed. Firstly, the mechanism by which the access of the PV and ES to the distribution network impacts the node voltage is explored. Then, the unit regulation cost of a photovoltaic inverter and energy storage power is studied. On this basis, the voltage–cost sensitivity is proposed based on the traditional node power–node voltage sensitivity. According to the differences between each group of regulation resources, a multi-stage voltage over-run control strategy based on grouping cooperation is proposed. Finally, the improved 33-node model is taken as an example to verify the correctness and effectiveness of the proposed method. Full article
(This article belongs to the Special Issue RFID Applied to IoT Devices)
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