Unconventional RFID Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (31 December 2018) | Viewed by 11787

Special Issue Editor


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Guest Editor
Department of Civil, Environmental and Mechanical Engineering (DICAM), University of Trento, 38123 Trento, Italy
Interests: microwave systems and devices; RFID; modulated scattering techniques (MST); microwave antenna; microwave sensors
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Special Issue Information

Dear Colleagues,

It is my great pleasure to announce this Special Issue on “Unconventional RFID Systems”.

Radio frequency identifier is an assessed technology that is widely used to track products and goods, to manage access to restricted areas and, because of the strong miniaturization, they can be easily implanted in humans and animals to store health information. Key advantages of RFID systems are their low cost and the miniaturization of tags, which permit their use for a broad range of practical problems. The main problems are the requirement of close tags and reader proximity, and the inability of the tags to be equipped with sensors. New scenarios introduced by Industry 4.0 and IoT technologies require very cheap RFID tags, able to maintain performance at high levels, and in any environment, with a high operative range and is able to measure different environmental capabilities. The limitations of standard RFID systems make them not the best candidates for these new applications, because of their low operative range (few centimeters) and their sensing inability. In such a framework, the use of unconventional RFID systems, such as chipless RFID and modulated scattering techniques, is a challenge and could lead to a dramatic cost reduction and could also improve the performance of RFID systems in terms of operative range and sensing capabilities. The objective of this Special Issue is to provide an overview of the current research on “Unconventional RFID Systems”, highlight the latest developments and innovations, and identify new challenges and opportunities of applications.

Suggested topics include, but are not limited to:

  • Chipless RFID systems,
  • Long range RFIDs,
  • Modulated Scattering Techniques (MST),
  • Sensing and Wearable RFID systems for biomedical applications,
  • RFID tag antennas,
  • Internet of things (IoT).

Prof. Dr. Massimo Donelli
Guest Editor

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Keywords

  • RFIDs
  • chipless RFID
  • long range RFID
  • modulalated scattering technique MST
  • internet of things (IoT)
  • antenna’s tag
  • wearable tags

Published Papers (3 papers)

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Research

17 pages, 690 KiB  
Article
A Novel Detection Technique for a Chipless RFID System Using Quantile Regression
by Mohammedhusen Manekiya, Massimo Donelli, Abhinav Kumar and Sreedevi K. Menon
Electronics 2018, 7(12), 409; https://doi.org/10.3390/electronics7120409 - 08 Dec 2018
Cited by 8 | Viewed by 3078
Abstract
This work presents a novel approach for improving the detection capabilities of a chipless Radio Frequency Identification (RFID) system based on quantile regression. The main drawback of chipless RFID systems is the limited response of the tags due to the low-quality factor of [...] Read more.
This work presents a novel approach for improving the detection capabilities of a chipless Radio Frequency Identification (RFID) system based on quantile regression. The main drawback of chipless RFID systems is the limited response of the tags due to the low-quality factor of the resonators, used to encode the information in the tag. The detection becomes very challenging especially for real-time data when noise is present. This work proposes the use of quantile regression to enhance the system performance. A chipless RFID system prototype has been fabricated (as a proof of concept) and experimentally assessed. The obtained results are quite satisfactory in the potentialities of the proposed methodology. Full article
(This article belongs to the Special Issue Unconventional RFID Systems)
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13 pages, 795 KiB  
Article
Development of Environmental Long Range RFID Sensors Based on the Modulated Scattering Technique
by Massimo Donelli and Mohammedhusen Manekiya
Electronics 2018, 7(7), 106; https://doi.org/10.3390/electronics7070106 - 04 Jul 2018
Cited by 6 | Viewed by 3502
Abstract
This work presents the development of a wireless sensor system for environmental monitoring based on the modulated scattering technique (MST). The MST sensor probes are based on the scattering properties of small passive antennas and radiate part of the impinging electromagnetic field generated [...] Read more.
This work presents the development of a wireless sensor system for environmental monitoring based on the modulated scattering technique (MST). The MST sensor probes are based on the scattering properties of small passive antennas and radiate part of the impinging electromagnetic field generated by an interrogating antenna, which also acquires the backscattered signal as information. The MST probes are able to deliver data without radio frequency front end. They use a simple circuit that alternatively terminates the antenna probe on suitable loads to generate a low modulation signal on the backscattered electromagnetic wave. In this work, the MST sensor system for environmental monitoring has been proposed to obtain the best performance in communication range, load efficiency and power harvesting. The MST sensor has been fabricated and assessed in practical scenarios. The proposed prototype, able to operate in X band at 10 GHz and able to provide a communication range of about 15 m, serves as a proof-of-concept. The acquired measurements demonstrate that the prototype is able to measure accurately and send data without radio frequency front end or bulky wired connection with the same efficiency of standard wireless sensors such as radio frequency identifier (RFID) or wireless sensor networks (WSN). Full article
(This article belongs to the Special Issue Unconventional RFID Systems)
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13 pages, 4647 KiB  
Article
Methane Gas Density Monitoring and Predicting Based on RFID Sensor Tag and CNN Algorithm
by Chunlei Zhang, Yuhua Fu, Fangming Deng, Baoquan Wei and Xiang Wu
Electronics 2018, 7(5), 69; https://doi.org/10.3390/electronics7050069 - 12 May 2018
Cited by 66 | Viewed by 4639
Abstract
According to the advantages of integrating wireless sensors networks (WSN) and radio frequency identification (RFID), this paper proposes a novel method for methane gas density monitoring and predicting based on a passive RFID sensor tag and a convolutional neural networks (CNN) algorithm. The [...] Read more.
According to the advantages of integrating wireless sensors networks (WSN) and radio frequency identification (RFID), this paper proposes a novel method for methane gas density monitoring and predicting based on a passive RFID sensor tag and a convolutional neural networks (CNN) algorithm. The proposed wireless sensor is based on electronic product code (EPC) generation2 (G2) protocol and the sensor data is embedded into the identification (ID) information of the RFID chip. The wireless sensor consists of a communication section, radio-frequency (RF) front-end section, and digital section. The communication section is used to perform the transmission and reception of wireless signals, modulation, and demodulation. The RF front-end section is adopted to provide the stable supply voltage for other parts. The digital section is employed to achieve sensor data and control the overall operation of the wireless sensor based on EPC protocol. Because the miscellaneous noises will decrease the accuracy during the process of data wireless transmission, the CNN algorithm is adopted to extract the robust feature from raw data. The measurement results show that the exploited RFID sensor can realize a maximum communication distance of 10.3 m and can accurately measure and predict the methane gas density in an underground mine. The RFID sensor technology is a beneficial supplement to the current underground WSN monitoring system. Full article
(This article belongs to the Special Issue Unconventional RFID Systems)
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