Chapter 1 Overview of anti-collision technologies in RFID systems
Chapter 2 Experimental verification system of physical anti-collision in RFID systems
Chapter 3 Physical theory of physical anti-collision in RFID systems
Chapter 4 Image theory of physical anti-collision in RFID systems
Chapter 5 Optimization algorithms and physical anti-collision in RFID systems
Chapter 6 Deep learning and physical anti-collision in RFID systems
Xiaolei YU
Xiaolei YU received his B.E. and M.E. degrees in information and communication engineering from Nanjing University of Aeronautics and Astronautics, Nanjing, China, and the Ph.D. degree from the University of Melbourne, Australia. He works as Professor in Nanjing University of Aeronautics and Astronautics. His current research interests include radio frequency signal processing and internet-of-things technology.
Zhimin ZHAO
Zhimin ZHAO received the M.E. degree from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 1991. Since 2001, she has been a Professor with the Nanjing University of Aeronautics and Astronautics. She has visited Commonwealth Scientific and Industrial Research Organisation (CSIRO) in Australia as a distinguished scientist from 2008 to 2010. Her current research interests include precision measurement technology.
Xuezhou ZHANG
Xuezhou ZHANG works as Professor at the Jiangsu Institute of Quality and Standardization, and Dean of National Quality Supervision and Testing Center for RFID Product, Jiangsu Province, China. His research interests include electronic product testing and the RFID systems design.
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.