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

Author

Listed:
  • Colin Sokol Kuka

    (Department of Electronic Engineering, University of York, Heslington, York YO10 5DD, UK)

  • Yihua Hu

    (Department of Electronic Engineering, University of York, Heslington, York YO10 5DD, UK)

  • Quan Xu

    (School of Information Science and Engineering, Changzhou University, Changzhou 213164, China)

  • James Chandler

    (The City of Liverpool College University Center, School of Engineering and Green Technologies, Liverpool L3 6BN, UK)

  • Mohammed Alkahtani

    (Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, UK)

Abstract

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.

Suggested Citation

  • Colin Sokol Kuka & Yihua Hu & Quan Xu & James Chandler & Mohammed Alkahtani, 2021. "A Novel True Random Number Generator in Near Field Communication as Memristive Wireless Power Transmission," J, MDPI, vol. 4(4), pages 1-20, November.
    • Handle: RePEc:gam:jjopen:v:4:y:2021:i:4:p:52-783:d:677191
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    References listed on IDEAS

    as
    1. Bao, B.C. & Bao, H. & Wang, N. & Chen, M. & Xu, Q., 2017. "Hidden extreme multistability in memristive hyperchaotic system," Chaos, Solitons & Fractals, Elsevier, vol. 94(C), pages 102-111.
    2. Xuezhe Wei & Zhenshi Wang & Haifeng Dai, 2014. "A Critical Review of Wireless Power Transfer via Strongly Coupled Magnetic Resonances," Energies, MDPI, vol. 7(7), pages 1-26, July.
    3. Xu, Quan & Lin, Yi & Bao, Bocheng & Chen, Mo, 2016. "Multiple attractors in a non-ideal active voltage-controlled memristor based Chua's circuit," Chaos, Solitons & Fractals, Elsevier, vol. 83(C), pages 186-200.
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    Cited by:

    1. Mostefa Kara & Konstantinos Karampidis & Giorgos Papadourakis & Mohammad Hammoudeh & Muath AlShaikh, 2024. "An Enhanced Learning with Error-Based Cryptosystem: A Lightweight Quantum-Secure Cryptography Method," J, MDPI, vol. 7(4), pages 1-15, October.

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