Energy Management in RFID-Sensor Networks: Taxonomy and Challenges

Ubiquitous Computing is foreseen to play an important role for data production and network connectivity in the coming decades. The Internet of Things (IoT) research which has the capability to encapsulate identification potential and sensing capabilities, strives towards the objective of developing seamless, interoperable and securely integrated systems which can be achieved by connecting the Internet with computing devices. This gives way for the evolution of wireless energy harvesting and power transmission using computing devices. Radio Frequency (RF) based Energy Management (EM) has become the backbone for providing energy to wireless integrated systems. The two main techniques for EM in RFID Sensor Networks (RSN) are Energy Harvesting (EH) and Energy Transfer (ET). These techniques enable the dynamic energy level maintenance and optimisation as well as ensuring reliable communication which adheres to the goal of increased network performance and lifetime. In this paper, we present an overview of RSN, its types of integration and relative applications. We then provide the state-of-the-art EM techniques and strategies for RSN from August 2009 till date, thereby reviewing the existing EH and ET mechanisms designed for RSN. The taxonomy on various challenges for EM in RSN has also been articulated for open research directives

Developing and applying precision animal farming tools for poultry behavior monitoring

Appropriate measurement of broiler behaviors is critical to optimize broiler production efficiency and improve precision management strategies. However, performance of different precision tools on measuring broiler behaviors of interest remains unclear. This dissertation systematically developed and evaluated radio frequency identification (RFID) system, image processing, and deep learning for automatically detecting and analyzing broiler behaviors. Then different behaviors (i.e., feeding, drinking, stretching, restricted feeding) of broilers under representative management practices were measured using the developed precision tools. The broilers were Ross 708 in weeks 4-8. The major findings show that the RFID system achieved high performance (over 90% accuracy) for continuously tracking feeding and drinking behaviors of individual broilers, after they were customized and modified, such as tag sensitivity test, power adjustment, radio wave shielding, and assessment of interference by add-ons. The image processing algorithms combined with a machine learning model were customized and adjusted based on the experimental conditions and finally achieved 85% sensitivity, specificity, and accuracy for detecting bird number at feeder and at drinkers. After adjusting labeling method and hyperparameter tuning, the faster region-based convolutional neural network (faster R-CNN) had over 86% precision, recall, specificity, and accuracy for detecting broiler stretching behaviors. In comprehensive algorithms, the faster R-CNN showed over 92% precision, recall, and F1 score for detecting feeder, eating birds, and birds around feeder. The bird trackers had a 3.2% error rate to track individual birds around feeder. The support vector machine behavior classifier achieved over 92% performance for classifying walking birds. Image processing model was also developed to detect birds that were restricted to feeder access. Broilers had different behavior responses to different sessions of a day, bird ages, environments, diets, and allocated resources. Reducing stocking density, increasing feeder space, and applying poultry-specific light spectrum and intensity were beneficial for birds to perform behaviors, such as feeding, drinking, and stretching, while using the antibiotics-free diet reduced bird feeding time. In conclusion, the developed tools are useful tools for automated broiler behavior monitoring and the measured behavior responses provide insights into precision management of welfare-oriented broiler production

Analysis and solutions for RFID tag and RFID reader deployment in wireless communications applications. Simulation and measurement of linear and circular polarised RFID tag and reader antennas and analysing the tags radiation efficiency when operated close to the human body.

The aim of this study is to analysis, investigate and find out the solutions for the problems associated with the implementations of antennas RFID Reader and Tag for various applications. In particular, the efficiency of the RFID reader antenna and the detection range of the RFID tag antenna, subject to a small and compact antenna¿s design configuration have been studied. The present work has been addressed directly to reduce the cost, size and increase the detection range and communication reliability of the RFID framework antennas. Furthermore, the modelling concept of RFID passive tags mounted on various materials including the novel design of RFID reader antenna using Genetic Algorithm (GA) are considered and discussed to maintain reliable and efficient antenna radiation performances. The main benefit of applying GA is to provide fast, accurate and reliable solutions of antenna¿s structure. Therefore, the GA has been successfully employed to design examples: meander-line, two linear cross elements and compact Helical- Spiral antennas. In addition, a hybrid method to model the human body interaction with RFID tag antenna operating at 900MHz has been studied. The near field distribution and the radiation pattern together with the statistical distribution of the radiation efficiency and the absorbed power in terms of cumulative distribution functions for different orientation and location of RFID¿s tag antenna on the human body have been demonstrated. Several tag antennas wi th symmetrical and unsymmetrical structure configurations operating in the European UHF band 850-950 MHz have been fabricated and tested. . The measured and simulated results have been found to be in a good agreement with reasonable impedance matching to the typical input impedance of an RFID integrated circuit chip and nominal power gain and radiation patterns

Applications of Antenna Technology in Sensors

During the past few decades, information technologies have been evolving at a tremendous rate, causing profound changes to our world and to our ways of living. Emerging applications have opened u[ new routes and set new trends for antenna sensors. With the advent of the Internet of Things (IoT), the adaptation of antenna technologies for sensor and sensing applications has become more important. Now, the antennas must be reconfigurable, flexible, low profile, and low-cost, for applications from airborne and vehicles, to machine-to-machine, IoT, 5G, etc. This reprint aims to introduce and treat a series of advanced and emerging topics in the field of antenna sensors

Analyse et exploitation des non linéarités dans les systèmes RFID UHF passifs

Powered by the exploding popularity of the Internet-of-Things (IoT), the demand for tagged devices with labels capable to ensure a reliable communication with added functions beyond the identification, such as sensing, location, health-care, among others, is growing rapidly. Certainly this growing is headed by the well-established Radio Frequency Identification (RFID) technology, and the use of wireless low-cost self-powered tags, in other words passive RFID tags, is the most widespread used alternative. In the constant evolution on this field, usually new software treatments are offered at the application layer with the objective to processing data to produce some new information. Further works aimed at improving the physical layer around the tag antenna miniaturization and matching techniques. So far, little or no work had been done on the exploitation of the communication channel, and certainly none has been done on the exploitation of the non-linear behavior of RFID chips.After presenting the RFID technology and phenomena produced by Radio Frequency (RF) non-linear devices, and leaning in some nearby works on the field, the core of this thesis starts by exposing two characterization platforms for the evaluation of non-linear phenomena presented during the reader-tag communication. One is specialized in radiating measurements considering the whole tag (antenna and chip) under test. The other is specialized in conducted measurements directly over RFID chips, allowing performing different parametric studies (power dependency, impedance, harmonic production, sensitivity). The characterization results show that harmonic signals generated from the passive RFID chip carry information.By exploiting the characterization results and to verify the hypothesis of exploitation of non-linearities in RFID, i.e. the use of harmonic signals, the research is pursued by designing, fabricating, and measuring four different configurations of RFID tags. The new RFID tags operate at the fundamental frequency in the UHF band and at its 3^{rd} harmonic in the microwave band. Antenna design policies, fabrication details, and parametric studies on the performance of the new prototypes are presented. The parametric study takes special care in the antenna structure, kind of chip used, received power, and read range.Finally, some alternatives approaches for the exploitation of non-linear effects generated by rectifying devices are presented. Some theoretical aspects and experimental results are discussed linking the passive RFID technology to the theories of Wireless Power Transfer (WPT) and Electromagnetic Energy Harvesting (EEH). The solution takes advantage of the non-linear nature of rectifying elements in order to maximize the RF-to-DC conversion efficiency of EEH devices and increase the read range of passive RFID tags. The solution triggers on the design of a RF multi-device system. The design procedure and tests consider three non-linear phenomena: (1) the impedance power dependency, (2) the harmonic production, and (3) the rectifying dependence on the RF waveform.Avec l'explosion de l'Internet des Objets (IoT), de nouveaux dispositifs permettant de tagguer les objets sont nécessaires afin de permettre non seulement leur identification mais aussi d'assurer des communications fiables et de nouvelles fonctionnalités comme la détection, la localisation ou la capture d'informations. Cette tendance s'appuie sur la technologie bien établie qu'est la radiofréquence par identification (RFID) et donc l'utilisation d'étiquettes (ou tags) faibles coûts et télé-alimentés. Dans ce contexte, de nombreux travaux au niveau de la couche d'application se tournent vers la mise au point de traitements logiciels complémentaires visant à produire de nouveaux types d'information. D'autres travaux visent à améliorer la couche physique avec l'objectif de miniaturiser encore le tag mais aussi de le doter de nouvelles capacités. Jusqu'à présent, il n'existe quasiment pas de travaux concernant la transmission du signal et aucun sur l'exploitation du comportement non-linéaire des puces RFID. Cette thèse vise à étudier les phénomènes non-linéaires produits lors d'une communication RFID.Dans la première partie, deux plateformes de mesure et de caractérisation spécifiques ont été développées : la première vise à observer les signaux au cours d'une communication RFID, et alors caractériser et analyser les effets liés aux phénomènes non linéaires ; la seconde permet d'effectuer différentes mesures directement sur les puces et les caractériser en termes d'impédance, production d'harmoniques et sensibilité. Ces plateformes ont permis : 1) de mettre en évidence que les fréquences harmoniques sont porteuses d'informations qui peuvent être exploitées et même offrir de nouvelles fonctionnalités ; 2) d'obtenir de nombreuses informations sur les propriétés des puces et d'en établir un modèle électrique précis ; 3) de déterminer des critères permettant d'évaluer la performance des tags dans le contexte étudié.Dans la deuxième partie, plusieurs nouveaux tags RFID ont été conçus, fabriqués, mesurés et évalués. Ces nouveaux tags fonctionnent non seulement dans la bande UHF mais aussi sont adaptés à la troisième harmonique dans la bande des microondes. Une méthodologie et des lignes directives d'aide à la conception de ce type de tags ont été établies et s'appuient sur les deux plateformes développées afin de caractériser les différents éléments. Dans un même temps, les effets liés à la fabrication ont aussi été étudiés et des études paramétriques ont permis de mettre en évidence l'effet sur les performances de la géométrie de l'antenne et du type de puce utilisée.Dans une troisième partie, les études se sont focalisées à exploiter les effets non-linéaires des dispositifs de redressement. L'idée générale est de coupler la RFID passive avec les dispositifs de transferts de puissance et de récupération d'énergie avec pour objectifs 1) de maximiser l'efficacité de conversion RF – continu 2) et d'augmenter la distance de lecture des tags passifs. Plusieurs prototypes ont été réalisés et leurs performances ont été démontrées.L'ensemble de ces travaux a mis en évidence un nouveau concept de communication RFID exploitant les non-linéarités générées par les puces RFID. Ce concept ouvre la voie à de nouvelles applications. et a fait l'objet d'une demande de brevet international

Novel development of distributed manufacturing monitoring systems to support high cost and complexity manufacturing

In the current manufacturing environment, characterized by diverse change sources (e.g. economical, technological, political, social) and integrated supply chains, success demands close cooperation and coordination between stakeholders and agility. Tools and systems based on software agents, intelligent products and virtual enterprises have been developed to achieve such demands but either because of: (i) focus on a single application; (ii) focus on a single product; (iii) separation between the product and its information; or (iv) focus on a single system characteristic (e.g. hardware, software, architecture, requirements) their use has been limited to trial or academic scenarios. In this thesis a reusable distributed manufacturing monitoring system for harsh environments, capable of addressing traceability and controllability requirements within stakeholders and across high cost and complexity supply chains is presented. [Continues.

Battery-less near field communications (nfc) sensors for internet of things (iot) applications

L’ implementació de la tecnologia de comunicació de camp proper (NFC) en els telèfons intel·ligents no para de créixer degut a l’ús d’aquesta per fer pagaments, això, junt amb el fet de poder aprofitar l’energia generada pel mòbil no només per la comunicació, sinó també per transmetre energia, el baix cost dels xips NFC, i el fet de que els telèfons tinguin connectivitat amb internet, possibilita i fa molt interesant el disseny d’etiquetes sense bateria incorporant-hi sensors i poder enviar la informació al núvol, dins del creixent escenari de l’internet de les coses (IoT). La present Tesi estudia la viabilitat d’aquests sensors, analitzant la màxima distància entre lector i sensor per proveir la potència necessària, presenta tècniques per augmentar el rang d’operació, i analitza els efectes de certs materials quan aquests estan propers a les antenes. Diversos sensors han estat dissenyats i analitzats i son presentats en aquest treball. Aquests son: Una etiqueta que mesura la humitat de la terra, la temperatura i la humitat relativa de l’aire per controlar les condicions de plantes. Un sensor per detectar la humitat en bolquers, imprès en material flexible que s’adapta a la forma del bolquer. Dues aplicacions, una per estimació de pH i una altre per avaluar el grau de maduració de fruites, basats en un sensor de color. I, per últim, s’estudia la viabilitat de sensors en implants per aplicacions mèdiques, analitzant l’efecte del cos i proposant un sistema per augmentar la profunditat a la que aquests es poden llegir utilitzant un telèfon mòbil. Tots aquests sensors poden ser alimentats i llegits per qualsevol dispositiu que disposin de connexió NFC.La implementación de la tecnología de comunicaciones de campo cercano (NFC) en los teléfonos inteligentes no para de crecer debido al uso de esta para llevar a cabo pagos, esto, junto con el hecho de poder aprovechar la energía generada por el móvil no sólo para la comunicación, sino también para transmitir energía, el bajo coste de los chips NFC, i el hecho que los teléfonos tengan conectividad a internet, posibilita y hace muy interesante el diseño de etiquetas sin batería que incorporen sensores i poder enviar la información a la nube, enmarcado en el creciente escenario del internet de las cosas (IoT). La presente Tesis estudia la viabilidad de estos sensores, analizando la máxima distancia entre lector i sensor para proveer la potencia necesaria, presenta técnicas para aumentar el rango de operación, y analiza los efectos de ciertos materiales cuando estos están cerca de las antenas. Varios sensores han sido diseñados y analizados y son presentados en este trabajo. Estos son: Una etiqueta que mide la humedad de la tierra, la temperatura y la humedad relativa del aire para controlar las condiciones de plantas. Un sensor para detectar la humedad en pañales, impreso en material flexible que se adapta a la forma del pañal. Dos aplicaciones, una para estimación de pH y otra para evaluar el grado de maduración de frutas, basados en un sensor de color. Y, por último, se estudia la viabilidad de sensores en implantes para aplicaciones médicas, analizando el efecto del cuerpo y proponiendo un sistema para aumentar la profundidad a la que estos se pueden leer usando un teléfono móvil. Todos estos sensores pueden ser alimentados y leídos por cualquier dispositivo que disponga de conexión NFC.The implementation of near field communication (NFC) technology into smartphones grows rapidly due the use of this technology as a payment system. This, altogether with the fact that the energy generated by the phone can be used not only to communicate but for power transfer as well, the low-cost of the NFC chips, and the fact that the smartphones have connectivity to internet, makes possible and very interesting the design of battery-less sensing tags which information can be sent to the cloud, within the growing internet of things (IoT) scenario. This Thesis studies the feasibility of these sensors, analysing the maximum distance between reader and sensor to provide the necessary power, presents techniques to increase the range of operation, and analyses the effects of certain materials when they are near to the antennas. Several sensors have been designed and analysed and are presented in this work. These are: a tag that measures the soil moisture, the temperature and the relative humidity of the air to control the conditions of plants. A moisture sensor for diapers, printed on flexible material that adapts to the diaper shape. Two applications, one for pH estimation and another for assessing the degree of fruit ripening, based on a colour sensor. And finally, the feasibility of sensors in implants for medical applications is studied, analysing the effect of the body and proposing a system to increase the depth at which they can be read using a mobile phone. All of these sensors can be powered and read by any NFC enabled device

Enabling Hardware Green Internet of Things: A review of Substantial Issues

Between now and the near future, the Internet of Things (IoT) will redesign the socio-ecological morphology of the human terrain. The IoT ecosystem deploys diverse sensor platforms connecting millions of heterogeneous objects through the Internet. Irrespective of sensor functionality, most sensors are low energy consumption devices and are designed to transmit sporadically or continuously. However, when we consider the millions of connected sensors powering various user applications, their energy efficiency (EE) becomes a critical issue. Therefore, the importance of EE in IoT technology, as well as the development of EE solutions for sustainable IoT technology, cannot be overemphasised. Propelled by this need, EE proposals are expected to address the EE issues in the IoT context. Consequently, many developments continue to emerge, and the need to highlight them to provide clear insights to researchers on eco-sustainable and green IoT technologies becomes a crucial task. To pursue a clear vision of green IoT, this study aims to present the current state-of-the art insights into energy saving practices and strategies on green IoT. The major contribution of this study includes reviews and discussions of substantial issues in the enabling of hardware green IoT, such as green machine to machine, green wireless sensor networks, green radio frequency identification, green microcontroller units, integrated circuits and processors. This review will contribute significantly towards the future implementation of green and eco-sustainable IoT