A Novel True Random Number Generator in Near Field Communication as Memristive Wireless Power Transmission

Autor: Yihua Hu, Quan Xu, Colin Sokol Kuka, Mohammed Alkahtani, James Chandler
Rok vydání: 2021
Předmět:
Zdroj: J, Vol 4, Iss 52, Pp 764-783 (2021)
Volume 4
Issue 4
Pages 52-783
ISSN: 2571-8800
Popis: The security of powering systems has been a major problem over the last decade, leading to an increased interest in wireless power and data transfer. In this research paper, a new inductive Wireless Power Transfer (WPT) circuit topology has been used. In traditional WPT circuits, the inverters are used to produce an oscillation for the transmitter coils. The classic WPT system includes intrinsic energy dissipation sources due to the use of switches, necessitating the need of an extra control circuit to ensure proper switching time. Furthermore, they have limited data encryption capabilities. As a result, an unique WPT system based on memristors has been developed, eliminating the need for switches. Furthermore, because this novel topology communicates a synchronised chaotic behaviour, it becomes highly beneficial. This circuit may be used in Near Field Communication (NFC), where chaotic true random numbers (TRNG) can be generated to increase security. The results of simulations indicate the functioning of the Memristor-based WPT (M-WPT) and its ability to generate random numbers. We experimentally proved the chaotic behaviour of the circuit and statistically demonstrated the development of the TRNG, using an Arduino board and the Chua circuit to build the M-WPT circuit.
Databáze: OpenAIRE