Enabling IoT through Gen2 RFID: PHY/MAC research opportunities
Sep 1, 2018·,,
Petar Šolić
Zoran Blažević
Maja Škiljo
Toni Perković

Abstract
Radio Frequency Identification (RFID) technologies were considered as the main enabler for the Internet of Things (IoT) vision due to its almost zero energy consumption and efficient price/performance ratio. Small and cost effective devices called tags can report their memory content from NLOS distances and therefore represent true replacement for old-fashioned barcodes. RFIDs are advancing, and as already shown in the literature, there is still work to be done in order to improve overall system performances. To deal with this, research efforts made so far are concentrating on particular details of the protocol stack, while neglecting the influences that appear from the other layers. When looked integrally, these should be properly compensated to be optimal. In this paper an overview of these influences is given while discussing open research questions and opportunities that remained uninvestigated both in PHY and MAC layer.
Type
Publication
International EURASIP Workshop on RFID Technology (EURFID), 1–5
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.