Radio Frequency Identification Sensor Research Articles

UHF RFID Temperature Sensor Tag Integrated into a Textile Yarn.

This paper presents the design of an ultra high-frequency (UHF) radio frequency identification (RFID) sensor tag integrated into a textile yarn and manufactured using the E-Thread® technology. The temperature detection concept is based on the modification of the impedance matching between RFID tag’s antenna and the chip. This modification is created by the change in the resistance of a thermistor integrated within the tag system due to a temperature variation. Moreover, in order to obtain an environment independent detection, a differential approach is proposed that avoids the use of a pre-calibration phase by the use of a reference tag. Experimental characterization demonstrates the RFID sensor’s potential of detecting a temperature variation or a temperature threshold between and 70 °C through the variation of the transmitted differential activation power.

Corrosion Monitoring in Atmospheric Conditions: A Review

A variety of techniques are available for monitoring metal corrosion in electrolytes. However, only some of them can be applied in the atmosphere, in which case a thin discontinuous electrolyte film forms on a surface. In this review, we describe, evaluate and compare both traditional and state-of-the-art real-time corrosion monitoring techniques to identify those suitable for atmospheric conditions. For atmospheric corrosion monitoring (ACM), electrochemical impedance spectroscopy (EIS), electrochemical noise (EN), electrical resistance (ER) probes, quartz crystal microbalance (QCM), radio-frequency identification sensors (RFID), fibre optic corrosion sensors (FOCS) and respirometry, the underlying principles, characteristics and application examples are described, and their advantages and drawbacks outlined. Finally, the techniques are compared in terms of their sensitivity, ease of setup, data processing, ability to identify underlying corrosion mechanisms and applicability in different fields of atmospheric corrosion protection and research.

Chipless RFID Sensors for Wearable Applications: A Review

Radio frequency identification (RFID) is a quickly growing innovative wireless data capturing technology for automatic identification, product tracing, security investigation, automatic toll fee, vehicle tracking, and e-Health. Wearable sensing technology and on-body structures have achieved pervasive responses due to their fabulous potential in the Internet of Things (IoT), healthcare, and smart homes. Inexpensive chipless RFID tags for on-body sensing are the upcoming research for such wearable devices. Its sensing skill offers the unified real-time monitoring of vital signs. This paper reviews various chipless passive RFID tag sensors for wearable applications. The main goal of this research work is to study the basics of chipless RFID sensors and their working principles. Further, chipped RFID sensors are very costly for mass implementation. Hence, chipless tag sensors have grown into a cost-effective and maintenance-free substitute, fulfilling the requirements of the society for the emergent technologies, where lots of these sensors can be used. Understanding the importance in emerging applications, essential materials needed for different sensors, basic circuit models for chipped and chipless sensors, and challenges with limitation of recent chipless RFID sensors are also discussed in this article.

A Printed LC Resonator-Based Flexible RFID for Remote Potassium Ion Detection

This article presents a flexible printed radio-frequency identification (RFID) sensor based on a printed inductive&#x2013;capacitive (LC) resonator circuit and a potassium ion-selective electrode (ISE) for remote potassium ion sensing. The potassium ion concentration of the contact solution can be monitored by measuring the change of the resonant frequency of the RFID sensor. The resonant frequency of the sensor can be directly detected by measuring the induced change in the reflection coefficient (<inline-formula> <tex-math notation="LaTeX">$S_{11}$ </tex-math></inline-formula>) of an external interrogator coil that is inductively coupled to the RFID sensor. Results obtained for the RFID sensor exhibited a second-order exponential relationship between the resonant frequency of the sensor and the K^&#x002B; concentration of the solution over 0.001&#x2013;2 mol/L dynamic range values. Effects of varying separation distance between the sensor and the interrogator coil and the effect of temperature variations on sensor&#x2019;s measurement are shown. With less than 2-s response time and the long-term stability, the wireless passive printed sensor has potential for low-cost K^&#x002B; monitoring applications such as K^&#x002B; monitoring in food packages.

Intermittent Magnetic Field Monitoring System Based on Passive RFID Sensor Tags

The monitoring of magnetic fields is extremely important in many industrial environments, e.g., power grids. Despite of its importance, the existing monitoring methods either are large in size, require high power consumptions and manual observation, or although integrated in small wireless devices, need the use of batteries, increasing maintenance costs. This paper proposes an intermittent magnetic field monitoring system based on passive ultra-high frequency (UHF) radio frequency identification (RFID) technology. A magnetic field magnitude sensor has been integrated into a micro-controller unit (MCU) based tag, and the standard RFID communication protocol ISO/IEC 18000-6 Type C has been partially modified to allow faster sensed data transfer, especially for multiple tag situations rarely considered in the open literature. Static or 50 Hz magnetic field sensing accuracy lower than 3% have been experimentally measured with reasonable tag charging times and read distances, making possible for example to monitor magnetic fields on more than 10 locations simultaneously with a 60 s of updating time with a tag read range of 3 m.

A Novel UHF RFID Sensor Based Crack Detection Technique for Coal Mining Conveyor Belt

This paper presents the design and analysis of a novel passive Ultra High Frequency (UHF) radio frequency identification (RFID) based sensor for crack detection in coal mining conveyor belts. The proposed sensor is built on an interdigital capacitor (IDC) based resonator integrated with a commercial UHF RFID chip. The paper illustrates the theoretical sensing principles of the sensor along with its design requirements. To enable the operation of the conveyor belt sample in the UHF band, a dielectric characterization of the belt is performed. This characterization helps obtain the material parameters of the belt, such as the dielectric constant and loss tangent. A thorough analysis of the proposed sensor in terms of simulation and experiment is also exemplified in this paper. Both simulated and experimental studies cater to a robust sensor performance for detecting cracks in the conveyor belt environment. The simulated analysis illustrates the variation of different sensing parameters, including impedance, gain, and backscattered power, with respect to different crack widths, orientations, and locations. The experimental results of fabricated sensor prototypes eventually manifest the backscattered power variation of the sensor into the change of received signal strength indicator (RSSI). An extensive analysis of the experimentally obtained results demonstrates that the proposed sensor can reliably and efficiently detect the presence and growth of cracks along with their variation in widths and orientations. The validation of simulated results through experiments essentially lays the basis for adopting machine learning based crack characterization in the future.

Chipless RFID Sensors for IoT-Based Healthcare Applications: A Review of State of the Art

Currently, there is a great demand for low-cost solutions in connected healthcare and real-time wireless patient monitoring remotely. Radio Frequency Identification (RFID) is a rapidly emerging wireless technique for remote data capturing utilized in multifarious applications such as healthcare, automated identification, object tracking, security and authentication, food packaging, and automobile tracking. The projected cost of conventional RFID technology hampers it from being used widely. Chipless RFID sensors with the Internet of Things (IoT) technology have the full potential to meet the requirements of the growing demand. With the development of present technologies, the IoT-based solutions are no longer a challenging vision that offers various potential benefits to today&#x2019;s world, especially healthcare which is an encouraging field of IoT. The design and development of chipless sensors for health monitoring have gathered the attention of the researchers in last few years. This article provides a comprehensive review of chipless RFID sensors that play a vital role in cost-effective healthcare applications. The working principle of a chipless sensing system, fabrication techniques, and classifications of different chipless RFID sensors along with the smart sensing materials are highlighted. This paper throws light on numerous chipless RFID sensors for IoT-based healthcare applications including their challenges and future directions. In addition to that, a comparison table of recent developments in the area of IoT-based healthcare is prepared.

Detection of Strain Magnitude and Direction Based on an RFID Sensor Array

Radio frequency identification (RFID) antenna sensors have become one of the most interesting areas of passive strain sensing owing to the advantages of battery-less and wireless interrogation. However, existing RFID methods could mainly detect strain magnitude with its direction along the length or width of the radiant element. To meet the practical purpose of strain detection, a magnitude and direction detection method based on an RFID sensor array is proposed. First, a single strain sensor, i.e., a short stub feed patch antenna, is designed. Specifically, taking resonant frequency shift (RFS) as the feature of strain amplitude, the sensor has different sensitivities in the electrical length direction and width direction. Then, based on this characteristic, a sensor array consisting of four sensors with a mutual angle of 45&#x00B0; is proposed to achieve the quantitative detection of strain magnitude and direction. Finally, the feasibility of the proposed method is validated by simulations and experiments. Experimental results show that the sensitivities of the single strain sensor in the longitude direction and transverse direction are &#x2212;873.91 and 57.28 Hz/<inline-formula> <tex-math notation="LaTeX">$\mu \varepsilon $ </tex-math></inline-formula>, respectively. The strain magnitude detection accuracy of the proposed sensor array is within 10&#x0025; except for individual abnormal values, and the direction detection error of the sensor array is within 3&#x00B0;.

Advanced Footstep Power Generation using RFID for Charging

Abstract: Day by day, the population of the country is increasing and the requirement of the power is also increasing in many ways. So, reforming this energy back to usable form is the major solution for future needs. In this Footstep power generation project, power is generated by human’s footsteps, so as to charge the battery by storing the power generated with the help of piezo sensors. The power stored in the battery, used to charge the mobile phones using RFID card. This system is powered by Atmega 328 microcontroller, it consists of Arduino IDE, RFID Sensor, USB Cable and LCD. When power is on in the system, the system enters into the registration mode. Three users can registered. Once all the users entered in the system, then the system asks to swipe the card and connect the charger. Initially all the user is given 5 minutes of charging time as default. When card is swiped and the user is authorized, the system turns on for charging the Mobile phone within a given time period. Keywords: Arduino Uno, Arduino IDE, Piezoelectric Sensors, RFID (Radio Frequency Identification ), LCD

Disain Smart Electricity Penghematan pada Peralatan Listrik Menggunakan Sensor Ultrasonic

Waste of electricity is a problem that often occurs accidentally, especially in household electricity, especially on electrical equipment that is routinely used but forgets to turn it off if there are no users around electrical equipment such as fans, air conditioners, TVs and others. Saving electrical energy is an action to reduce the amount of electrical energy use. This study aims to create a control device for saving electricity consumption. Saving electricity consumption does not mean not using electrical energy for something that is not useful, however, energy savings can be achieved by using energy efficiently where the same benefits are obtained by using less energy. This study uses a design method or is designed to be smart electricity using sensors. ultrasonic with arduino uno, where this tool controls daily use in case of forgetting so that no energy is wasted (waste of electricity) or more practical in controlling electrical equipment. Based on the results of tool testing and data analysis carried out, it was concluded that the working system of this tool succeeded in controlling the use of electronic equipment by detecting the presence of an object / human with the help of an ultrasonic sensor with a horizontal area range. The Radio Frequency Identification sensor is an additional sensor to help the Ultrasonic sensor improve to detect in a wider range of vertical areas by scanning the card. The total cost of the entire expenditure for 1 month is Rp. 203,365 using a smart electricity design tool as a means of saving and the use of electricity based on ultrasonic sensors using Arduino Uno and Rp. 418,175 without tools results in a difference in savings of Rp. 214.810,-

Control Ports Authorities’ Equipment Based on RFID and SQL Security System

Equipment surveillance or tracking is a hard-to-accomplish mission for a multi-locations company. This study examines a complete security system in Alexandria and EL-Dekheila ports of Egypt, as case study, to track equipment location. The system uses RFID (radio frequency identification) and Arduino kit as hardware to detect equipment motion, and visual studio and SQL (structured query language) as software to produce reports. The original place of equipment is saved as a reference. IR and RFID sensors are used at every department’s gate for IT access and for detecting and decoding the received equipment’s RFID card and ID data. Visual studio and SQL help in issuing the report on each equipment’s location and movement time. The system sends instant email messages and cellular phone messages to the control room.

Electrical gas sensors for meat freshness assessment and quality monitoring: A review

The simple methods for Freshness assessment have been gained attention in the last years, mainly in case of highly perishable food products as those delivered by the meat sector . Furthermore, the growing demand for fresh and safe food makes the development of reliable, low-cost and time-saving methods for freshness investigation an important need. In this context, gas sensors represent a valuable tool to food freshness and quality monitoring , avoiding the supply and consumption of rotten meat products, which may be associated with foodborne diseases. The present work gives an overview of the existing gas sensors applied to meat quality monitoring, with emphasis on a particular class of gas sensors, the electrical gas sensors . This type of sensors has been shown to have a promissory interface with wireless technologies, such as the existing NFC (near field communication) and RFID (radio frequency identification) sensor tags, which may lead to meat quality and safety assurance at consumers’ level. The presented literature studies demonstrated that the electrical properties of different materials have been exploited for the development of gas sensors. The implementation of electrical gas sensors interfaced with wireless is a promising technology in the near future because of the possibility of a rapid and accessible meat quality monitoring. • Recent gas sensors applications and prospects for meat quality are reviewed. • Gas sensors for meat monitoring were summarized based on the transduction principle. • Electrical gas sensor (EGS) versatility in meat quality and freshness assessment. • EGS combined with wireless technologies has great potential for meat monitoring.

Rapid probabilistic loss assessment of buildings based on post-earthquake structural deformation conditions

A rapid probabilistic seismic loss (e.g., repair time and repair cost) assessment methodology for building structures is developed based on radio frequency identification (RFID) based wireless deformation sensors. The sensors can detect whether the multiple preset tensile deformation thresholds of structural components are exceeded, and the structural deformation data are recorded in RFID tags. Then, the RIFD tags are scanned and the deformations are collected by an RFID interrogator, carried into the damaged building after earthquakes, without requirement of removals of coverings such as drywall. The sensors provide valuable deformation information that can be utilized to estimate the probability distributions of repair time (RT) and repair cost (RC) of the building. In this paper, a seismic loss assessment methodology that combines the FEMA P-58 fragility database with Bayes' theorem is proposed to exploit the information provided by the RFID sensors. The assessment is rapid because dynamic response analysis is not required in the post-earthquake phase. The feasibility of the technique is examined using a tension-only concentrically braced steel beam-through frame. The accuracy of the technique is tested by an alternative method. The uncertainties for seismic loss assessment are significantly reduced owing to the available deformation condition information.

Modeling RIS Empowered Outdoor-to-Indoor Communication in mmWave Cellular Networks

With the increasing adoption of millimeter-waves (mmWave) over cellular networks, outdoor-to-indoor (O2I) communication has been one of the challenging research problems due to high penetration loss of buildings. To address this, we investigate the practicability of utilizing reconfigurable intelligent surfaces (RISs) for assisting such O2I communication. We propose a new notion of prefabricated RIS-empowered wall consisting of a large number of chipless radio frequency identification (RFID) sensors. Each sensor maintains its own bank of delay lines. These sensors which are built within the building walls can potentially be controlled by a main integrated circuit (IC) to regulate the phase of impinging signals. To evaluate our idea, we develop a thorough performance analysis of the RIS-based O2I communication in the mmWave network using stochastic-geometry tools for blockage models. Our analysis facilitates two closed-form approximations of the downlink signal-to-noise ratio (SNR) coverage probability for RIS-based O2I communication. We perform extensive simulations to evaluate the accuracy of the derived expressions, thus providing new observations and findings.

Flexible RFID Tag for Sensing the Total Minerals in Drinking Water via Smartphone Tapping

The recent advances in energy-efficient electronics and sensor fabrication techniques have reshaped the way of sensing and communication, which have nurtured many novel applications. Among the emerging sensing techniques, wirelessly powered sensing and communication enhanced by Radio Frequency Identification (RFID) has gained increasing popularity. In this investigation, we propose a novel flexible RFID sensor tag powered and interrogated by a smartphone with its in-built High-Frequency (HF) RFID module, which can be applied for convenient non-contact analysis of liquids. In this work, the evaluation of total minerals in drinking water is conducted as a proof-of-concept demonstration. The main contributions include: (1) modeling and theoretical analysis of a planar capacitive sensor for liquids analysis by sensing the dielectric properties; (2) design of a flexible capacitive sensor tag that can be conformally mounted on the sidewall of containers for the liquid analysis; (3) a power-efficient hardware scheme for HF RFID powered battery-less sensing via smartphone tapping; (4) a Near Field Communication (NFC) data transmission method for convenient measurement without added software in smartphone devices. Finally, the developed sensor tag is calibrated by multi-piece linear function fitting. Experimental results and quantitative analysis demonstrate the feasibility of the proposed methodology.

Effects and Mechanism of Surface Water Wettability and Operating Frequency on Response Linearity of Flexible IDE Capacitive Humidity Sensor.

Flexible capacitive humidity sensors are promising for low-cost, wearable, and radio frequency identification sensors, but their nonlinear response is an important issue for practical applications. Herein, the linearity of humidity response was controlled by surface water wettability and operating frequency of sensor, and the mechanism was explained in detail by surface water condensation. For a sensor with a Ag interdigitated electrode (IDE) on a poly(ethylene terephthalate) substrate, the capacitance showed a small linear increase with humidity up to 70% RH but a large nonlinear increase in the higher range. The response linearity was increased by a hydrophobic surface treatment of self-assembled monolayer coating while it was decreased by an ultraviolet/ozone irradiation for hydrophilicity. It was also increased by increasing the frequency in the range of 1–100 kHz, more prominently on a more hydrophilic surface. Based on experiment and simulation, the increase in sensor capacitance was greatly dependent on the geometric pattern (e.g., size, number, and contact angle) and electrical permittivity of surface water droplets. A larger and more nonlinear humidity response resulted from a larger increase in the number of droplets with a smaller contact angle on a sensor surface with higher water wettability and also from a higher permittivity of water at a lower frequency.

Investigation the influence of miniaturized RFID tag sensor on coupling effect

Purpose The skin and skeleton of aircraft are connected by adhesives or rivets to bear and transfer aerodynamic load. It is easy for crack and fracture damage to occur under the action of cyclic load, thus reducing aircraft bearing capacity/integrity and causing serious security risks. Therefore, it is particularly important that passive wireless radio frequency identification (RFID) sensors be used for the health monitoring of aircraft skin in its whole life cycle. This paper aims to investigate the influence of miniaturization on the coupling effect between RFID tag sensors. Design/methodology/approach Two groups of crack sensing systems based on RFID tags were designed. Gain and mutual impedance of sensor tags were analyzed via mode analysis. The reliability of crack detection of both sensing systems was compared using a preset experimental scheme. Findings Miniaturized antennas can reduce edge influence and the coupling effect. Gain and mutual impedance decrease with the increase in distance between dual tags. Backscatter power shows a decreasing trend and threshold power to activate tags in reader antenna increases. Results show that the miniaturization of size is more suitable for the application of multiple sensors. Originality/value By comparing two groups of sensing systems, the consistency of crack detection sensitivity is better when small tags are placed in parallel, which provides a theoretical basis for the application of small, passive and densely distributed crack sensors in the future.

Design and Implementation of IoT-Based Smart Shopping Dash Cart

In the living world technology is evolving day by day in different fields like artificial intelligent, machine learning, virtual 1 reality, touch commerce, internet of things and so on. The main motive of the paper is focus to the customer needs and purpose because time is more important to everyone in the real world. But the people spend the more time in the supermarket. For example, consumers purchase the number of items in the supermarket using trolley. After purchasing they can face some problems like waiting the long queue in billing section and without knowing about the calculation of purchased items. In this regard, the Internet of Things (IoT) based Smart Shopping Cart is proposed which consists of Radio Frequency Identification (RFID) sensors, Arduino microcontroller, Wifi module, and Mobile application. RFID sensors depend on wireless communication. One part is the RFID tag attached to each product and the other is RFID reader that reads the product information efficiently. After this, each product information shows in the Mobile application. The customer easily manages the shopping list in Mobile application according to preferences. Then shopping information sends to the server wirelessly and automatically generates billing. This experimental prototype is designed to eliminate time-consuming shopping process and quality of services issues. The proposed system can easily be implemented and tested at a commercial scale under the real scenario in the future. That is why the proposed model is more competitive as compared to others.

All in one ultrahigh frequency radiofrequency identification sensor for internet of things applications

All in one ultrahigh frequency radiofrequency identification sensor for internet of things applications

Advancing the Ultra High Frequency RFID in Industrial Applications: A Review

Radio Frequency Identification (RFID) technology transmits data wirelessly and falls under the broad classification of Automatic Identification and Data Capture (AIDC). The advances in RFID technology continue to be accepted worldwide for various tracking and monitoring type applications. This paper reviews the principle of RFID system operation using an extensive search of relevant articles from technology management and related journals, over the past two decades. It explores 1) the RFID tags operating in the ultra-high frequency (UHF) band, 2) analyses some of the major advancements of this technology in the field of sensor tagging solutions in the past two decades, and 3) discusses industry-based applications utilising UHF RFID sensor tagging solutions for process measurement data acquisition. The main challenges identified are privacy and security concerns on their applications in industry. The paper contributes to amalgamating a list of UHF RFID industry-based applications. It is expected that the findings from this review exercise would shed light on critical areas of the UHF RFID Technology.