Comparing RFID Tags Performance through Software Defined Radio
Sep 1, 2019·,,
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Hamid Zargariasl
Petar Šolić
Katarina Radoš
Toni Perković
Zoran Blažević
Joel J. P. C. Rodrigues

Abstract
RFID tags, made of IC and connected antenna represent a huge advantage in process automation. Now, it is possible to track, identify and get tagged item status in real time. However, the weaknesses of technology cause tags to be missed during the read process which can happen due to many different reasons. Consumers would appreciate if these performances can be given in a lean way. Although many contributions done so far to evaluate the performances, still there is certain space for improvements from different aspects ranging from cost-effectiveness of the platform to particular metrics of interest to be defined upon specific test scenario. This paper, in tutorial fashion, provides results obtained from SDR-based measurement platform. The results can be used for building custom-based performance metrics and evaluate RFID tags in particular scenario.
Type
Publication
IEEE International Conference on RFID Technology and Applications (RFID-TA), 24, 494–498
Status
Peer-reviewed

Authors
Full Professor
I am a Full Professor in the
Department of Electronics and Computing
at the Faculty of Electrical Engineering, Mechanical Engineering and Naval
Architecture (FESB), University of Split,
Croatia, where I teach
wireless network security, wireless communication networks, data science and
reinforcement learning.
My research spans information security, applied cryptography and the Internet of
Things. Before returning to FESB in 2020, I was an assistant and then associate
professor at the University Department of Forensic Sciences
in Split. I co-founded the SpliTech international
conference and serve on the editorial board of the
Journal of Communications Software and Systems.