Special Sessions
IEEE RFID-TA 2024 provides high scientific-level special sessions on cutting-edge topics related to RFID field.
Check this page to discover how to submit a paper to IEEE RFID-TA 2024!
Circuit Modeling and Solutions for Intelligent RFID and Sensing Systems
Organizers:
Riccardo Colella, CNR, IT
Massimo Merenda, Univ. Mediterranea of Reggio Calabria, IT
Giuseppe Grassi, Univ. of Salento, IT
In the framework of IEEE RFID-TA 2024, this special session titled “Circuit Modeling and Solutions for Intelligent RFID and Sensing Systems,” is dedicated to exploring the cutting-edge advancements in circuit design that are essential to the next generation of RFID and sensing technologies. As RFID systems increasingly integrate more complex functionalities, the importance of innovative hardware design cannot be overstated. This session will highlight the crucial role that both linear and nonlinear circuits play in enhancing the intelligence, performance, and power efficiency of these systems.
A significant focus will be placed on circuit analysis and modeling methodologies, including the application of SPICE simulations for rigorous design validation and optimization. Additionally, the session will delve into the emerging role of neuromorphic circuits, which are paving the way for intelligent edge processing within RFID systems, enabling real-time decision-making and reduced reliance on centralized processing.
Given the growing intersection of hardware and artificial intelligence, this session will also explore how AI-driven approaches can be leveraged in the design, processing, and optimization of RFID circuits. This includes the use of machine learning algorithms to optimize circuit performance, enhance signal processing capabilities, and improve overall system efficiency.
Sensing technology, particularly through RFID, will be a key theme, as the integration of sensing and signal conditioning circuits is vital for developing robust, reliable, and multifunctional RFID systems. This session will emphasize how these advancements enable RFID to evolve beyond simple identification, facilitating sophisticated sensing applications in industries such as healthcare, logistics, and environmental monitoring.
Contributions that present advanced hardware solutions, integrating these circuital elements into compact, efficient industrial systems, are especially welcome. This session is tailored for circuit designers, researchers, and industry practitioners who are committed to pushing the boundaries of RFID and sensing technology through innovative circuit design.
Topics of interest include but are not limited to:
Linear and Nonlinear Circuit Design
Circuit Analysis and Modeling SPICE Simulations for RFID Systems
Neuromorphic Circuits in RFID
AI in Circuit Design, Processing, and Optimization
RF Circuit Design
Sensing and Signal Conditioning Circuits
Advanced Hardware Solutions for RFID and Sensing Systems
Thank you
Best Regards,
Riccardo Colella, CNR, IT
Massimo Merenda, Univ. Mediterranea of Reggio Calabria, IT
Giuseppe Grassi, Univ. of Salento, IT
Wireless power transfer and energy harvesting techniques for the next generation of ultra-low power identification and sensing devices
Organizers:
Dr. Arnaud Vena, University of Montpellier, FR
Dr. Nicolas Barbot, University of Grenoble Alpes, FR
This session is an opportunity to present new ideas and experiments aimed at maximizing the ratio of energy consumption to energy harvested, thereby improving the detection range and lifetime of passive and semi-passive RFID tags and sensors.
These may include contributions on wireless power transfer and energy harvesting techniques, as well as new techniques to improve the detection range of RFID tags and sensors (backscatter communication, passive sensors, new communication schemes to improve reader sensitivity, etc.).
Robustness in RFID sensing
Organizers:
Dr. Jian Zhang, Kennesaw State University, US
Dr. Xiangyu Wang, Auburn University, US
Bernard Amoah, Auburn University, US
Pritom Dutta, Kennesaw State University, US
In recent years, the RFID technique has been widely explored as ubiquitous sensing, such as environment temperature measurement, motion detection, indoor localization, etc. Especially when combined with AI techniques to solve many challenging problems, such as fingerprinting-based indoor localization. However, as the solution becomes more and more delicate and complex, the problem of how to qualify and guarantee the robustness of these RFID-based systems arises. In this special session, we call for papers to address this problem, including but not limited to:
1. Uncertainty quantification in RFID sensing;
2. Confidence regions in position estimates;
3. Robustness to environmental changes;
4. Calibration or validation of RFID systems;
5. Risk mitigates in critical applications.
Next-generation RFID systems empowered by localization and motion capture
Organizers:
Shiwen Mao, Auburn University, Auburn, US
Alice Buffi, University of Pisa, Pisa, IT
Yongtao Ma, Tianjin University, Tianjin, China
Edwin Kan, Cornell University, Ithaca, US
Andrea Motroni, University of Pisa, Pisa, IT
Radio Frequency Identification (RFID) technology is an established technology to perform identification of assets, people and vehicles in a lot of different application scenarios. But there is more! Thanks to its capability of additional features such as localization and wireless motion capture, a new path is now traced towards next-generation RFID systems.
What are the capabilities of these novel RFID-enabled localization systems? What are their limits and potentialities? How far are we from robust and large-scale implementations? How pervasive can these systems become in our industry and society?
Looking to the future, and in particular to the upcoming Industry 5.0 revolution, we cannot help but wonder how useful and cooperative RFID-enabled localization can become in helping people and workers to improve safety and work efficiency.
This session is collecting contributions that aim to face with above questions in different application fields, by describing systems that can guide us towards next-generation localization systems exploiting the RFID technology, also in hybrid configurations that may effectively combine RFID technology with other wireless
technologies.
The main topics are related to:
• Next-generation RFID localization systems
• Innovative localization methods
• Vehicle positioning and tracking
• People tracking and positioning
• Human-pose estimation
• Hybrid positioning methods based on data-fusion algorithms
• Localization for safety
• Localization for advanced RFID applications
Wearable Technologies for RFID and Energy Harvesting Applications
Organizers:
Prof. Alessandra Costanzo, University of Bologna, IT
Dr. Francesca Benassi, University of Bologna, IT
This special session will present breakthrough research findings on low-power wearable RFID technologies, as well as their implementation using wireless power transfer and energy harvesting technologies.
These include wearable RFID solutions that exploit suitable novel materials (e.g., polymers-, paper-, and fabric-based) boasting properties such as flexibility, reliability and wearability, in combination with customized fabrication processes (i.e. inkjet printing).