This book highlights the innovative applications of electromagnetics, optics, thermodynamics theories in creating methods for physical-layer collision prevention- "physical anti-collision" in radio frequency identification (RFID) systems. Using engineering mathematical methods as the core of detection and control algorithm design, it proposes semi-physical verification and detection techniques to the dynamic performance testing in RFID systems. The book also introduces the methods to build semi-physical hardware platforms using photoelectric sensing technology. The book provides valuable ideas to the applications of Internet of Things (IOT) systems in smart logistics, car networking, food traceability, anti-counterfeiting and other livelihood fields. It is worth reading for all researchers in IOT and optoelectronic engineering related industries.
This book examines the design of chipless RFID systems. The authors begin with the philosophy of RFID and its effect on commercial applications. Then, they discuss the chipless RFID systems and the application of chipless RFID systems, the advantages it provides compared to conventional barcode ID and chipped RFID tags. The text then covers chipless RFID components in block diagram representation and introduce FCC requirements which should be considered in the design procedure of each component. The third chapter is dedicated to the complex natural resonance-based design of chipless RFID tags. The next chapter concerns about the detection techniques introduced for the identification of chipless RFID tags. The fifth chapter is dedicated to the localization and anti-collision techniques in chipless RFID systems. Final chapter is chipless RFID tags as sensors. It provides some applications where the tag can be used as both ID and sensor. The tag specifications and detection issues are addressed in this section.
Abstract : Radio Frequency Identication (RFID) is a technology that allows automatic identication of people or objects by incorporating the use of radio frequency waves to transmit data between networked electromagnetic readers and tags. RFID is considered an emerging technology for advancing a wide range of applications, such as supply chain management and distribution. However, despite the extensive development of the RFID technology in many areas, the RFID tags collision problems remain a serious issue. Collision problems occur due to the simultaneous presence of multiple numbers of tags within the reader zone. To solve collision problems, dierent anti-collision methods have been mentioned in literature. These methods are either insucient or too complex, with a high overhead cost of implementation. In this work, in order to improve the quality of RFID data collection, we propose novel deterministic and probabilistic anti-collision approaches. The main contributions of this study are summarised as follows: 1. We propose two novel deterministic anti-collision algorithms using combinations of Q-ary trees (Pupunwiwat and Stantic, 2009a, b, 2010c), with the intended goal to minimise memory usage queried by the RFID reader. By reducing the size of queries, the RFID reader can preserve memories, and the identication time can be improved. 2. We propose a novel frame-size estimation technique (Pupunwiwat and Stantic, 2010a, b) to minimise the number of slots and frames queried by the RFID reader and to maximise the system eciency. In addition, we introduce the probabilistic group-based anti-collision method (Pupunwiwat and Stantic, 2010d) to improve the overall performance of the tag recognition process. 3. We evaluate our proposed anti-collision techniques and perform a comparative anal- ysis, in order to nd the benets and disadvantages of each method. Additionally, in order to identify the best selection of anti-collision method, we propose two strate- gies for selective anti-collision technique management, i.e. a Novel Decision Tree Strategy and a Six Thinking Hats Strategy (Pupunwiwat et al., 2011). By correctly identifying the most suitable anti-collision method for specic scenarios, the quality of data collection can be improved.
As modern technologies continue to transform and impact our society, Radio Frequency Identification has emerged as one of the top areas of study to do just that. Using its wireless data capturing technique and incredible capabilities such as automatic identification, tracking, handling large amounts of data, and flexibility in operation, RFID aims to revamp the new millennium. Advanced RFID Systems, Security, and Applications features a comprehensive collection of research provided by leading experts in both academia and industries. This leading reference source provides state-of-the- art development on RFID and its contents will be of the upmost use to students and researchers at all levels as well as technologists, planners, and policy makers. RFID technology is progressing into a new phase of development.
Presents a comprehensive overview and analysis of the recent developments in signal processing for Chipless Radio Frequency Identification Systems This book presents the recent research results on Radio Frequency Identification (RFID) and provides smart signal processing methods for detection, signal integrity, multiple-access and localization, tracking, and collision avoidance in Chipless RFID systems. The book is divided into two sections: The first section discusses techniques for detection and denoising in Chipless RFID systems. These techniques include signal space representation, detection of frequency signatures using UWB impulse radio interrogation, time domain analysis, singularity expansion method for data extraction, and noise reduction and filtering techniques. The second section covers collision and error correction protocols, multi-tag identification through time-frequency analysis, FMCW radar based collision detection and multi-access for Chipless RFID tags as we as localization and tag tracking. Describes the use of UWB impulse radio interrogation to remotely estimate the frequency signature of Chipless RFID tags using the backscatter principle Reviews the collision problem in both chipped and Chipless RFID systems and summarizes the prevailing anti-collision algorithms to address the problem Proposes state-of-the-art multi-access and signal integrity protocols to improve the efficacy of the system in multiple tag reading scenarios Features an industry approach to the integration of various systems of the Chipless RFID reader-integration of physical layers, middleware, and enterprise software Chipless Radio Frequency Identification Reader Signal Processing is primarily written for researchers in the field of RF sensors but can serve as supplementary reading for graduate students and professors in electrical engineering and wireless communications.
Radio Frequency Identification (RFID) Systems are modern wireless communication systems that transmit information from a transponder (tag) to a reader. RFID systems are well known because of their contactless feature. However, tag performance is limited by collision problems when multiple tags transmit simultaneously. Due to the collision problem, much research has been developed using anti-collision algorithms to enhance the systems' efficiency, save energy, and ensure the correct transmission of information. Most research has used a Time Division Multiple Access (TDMA) approach with anti-collision ALOHA-type algorithms. The time slots and frames of the tags are manipulated to deal with the collision problem. They work with different ALOHA protocol variants that are always trying to reduce the number of collisions compared to the previous techniques. The most promising of the ALOHA protocol variants is Dynamic Frame Slotted ALOHA (DFSA). In addition, research has been conducted with a Code Division Multiple Access (CDMA) approach, called CDMA with Adaptive Interference Cancellation (CDMA/AIC). The time slots are not used for this anti-collision algorithm; instead, Spread Spectrum (SS) technology and Processing Gain (Gp) were employed. In previous work, the Gp was a fixed value equal to sixty-four (64). In contrast, this research involved a CDMA/AIC approach with a dynamic Gp reached by generating different chip rates. This technique depended on the number of collisions from the previous run to resize the Gp for a subsequent run. CDMA gave the flexibility to use Spread Spectrum. The modulated signal was spread across the channel using orthogonal pseudorandom (PN) codes (generated for each tag) and was demodulated at the reader using the same PN code. The more spread the signal was in the channel, the greater the Gp. The research proved an enhancement in the system's performance compared to the previous work. The system's efficiency enhancement and the anti-collision algorithm were proven using MatLab as the simulation software. No hardware implementation was developed in this research. Both the CDMA and the modified DFSA code were exposed to the same conditions of noise (12, 9, 6 dB SNR), number of tags (20, 60, 80, 100, 150, and 200), number of simulations (1000), and Gp/slots (32, 64, 128, and 256). After the data was collected and processed, the performance of CDMA in noisy scenarios and with a large number of tags was faster and more efficient than DFSA. CDMA presented stability and fast information processing due to its error correction and code spreading features.
This book provides an insight into the 'hot' field of Radio Frequency Identification (RFID) Systems In this book, the authors provide an insight into the field of RFID systems with an emphasis on networking aspects and research challenges related to passive Ultra High Frequency (UHF) RFID systems. The book reviews various algorithms, protocols and design solutions that have been developed within the area, including most recent advances. In addition, authors cover a wide range of recognized problems in RFID industry, striking a balance between theoretical and practical coverage. Limitations of the technology and state-of-the-art solutions are identified and new research opportunities are addressed. Finally, the book is authored by experts and respected researchers in the field and every chapter is peer reviewed. Key Features: Provides the most comprehensive analysis of networking aspects of RFID systems, including tag identification protocols and reader anti-collision algorithms Covers in detail major research problems of passive UHF systems such as improving reading accuracy, reading range and throughput Analyzes other "hot topics" including localization of passive RFID tags, energy harvesting, simulator and emulator design, security and privacy Discusses design of tag antennas, tag and reader circuits for passive UHF RFID systems Presents EPCGlobal architecture framework, middleware and protocols Includes an accompanying website with PowerPoint slides and solutions to the problems http://www.site.uottawa.ca/~mbolic/RFIDBook/ This book will be an invaluable guide for researchers and graduate students in electrical engineering and computer science, and researchers and developers in telecommunication industry.
This book discusses the fundamentals of RFID and the state-of-the-art research results in signal processing for RFID, including MIMO, blind source separation, anti-collision, localization, covert RFID and chipless RFID. Aimed at graduate students as well as academic and professional researchers/engineers in RFID technology, it enables readers to become conversant with the latest theory and applications of signal processing for RFID. Key Features: Provides a systematic and comprehensive insight into the application of modern signal processing techniques for RFID systems Discusses the operating principles, channel models of RFID, RFID protocols and analog/digital filter design for RFID Explores RFID-oriented modulation schemes and their performance Highlights research fields such as MIMO for RFID, blind signal processing for RFID, anti-collision of multiple RFID tags, localization with RFID, covert RFID and chipless RFID Contains tables, illustrations and design examples
