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Stochastic Computing Implementation of Chaotic Systems

Author

Listed:
  • Oscar Camps

    (Industrial Engineering and Construction Department, University of Balearic Islands, 07122 Palma, Spain)

  • Stavros G. Stavrinides

    (School of Science and Technology, International Hellenic University, 57001 Thessaloniki, Greece)

  • Rodrigo Picos

    (Industrial Engineering and Construction Department, University of Balearic Islands, 07122 Palma, Spain
    Balearic Islands Health Institute (IdISBa), 07120 Palma, Spain)

Abstract

An exploding demand for processing capabilities related to the emergence of the Internet of Things (IoT), Artificial Intelligence (AI), and big data, has led to the quest for increasingly efficient ways to expeditiously process the rapidly increasing amount of data. These ways include different approaches like improved devices capable of going further in the more Moore path but also new devices and architectures capable of going beyond Moore and getting more than Moore. Among the solutions being proposed, Stochastic Computing has positioned itself as a very reasonable alternative for low-power, low-area, low-speed, and adjustable precision calculations—four key-points beneficial to edge computing. On the other hand, chaotic circuits and systems appear to be an attractive solution for (low-power, green) secure data transmission in the frame of edge computing and IoT in general. Classical implementations of this class of circuits require intensive and precise calculations. This paper discusses the use of the Stochastic Computing (SC) framework for the implementation of nonlinear systems, showing that it can provide results comparable to those of classical integration, with much simpler hardware, paving the way for relevant applications.

Suggested Citation

  • Oscar Camps & Stavros G. Stavrinides & Rodrigo Picos, 2021. "Stochastic Computing Implementation of Chaotic Systems," Mathematics, MDPI, vol. 9(4), pages 1-20, February.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:4:p:375-:d:498696
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    References listed on IDEAS

    as
    1. Miliou, A.N. & Valaristos, A.P. & Stavrinides, S.G. & Kyritsi, K. & Anagnostopoulos, A.N., 2007. "Characterization of a non-autonomous second-order non-linear circuit for secure data transmission," Chaos, Solitons & Fractals, Elsevier, vol. 33(4), pages 1248-1255.
    2. Fei Yu & Zinan Zhang & Li Liu & Hui Shen & Yuanyuan Huang & Changqiong Shi & Shuo Cai & Yun Song & Sichun Du & Quan Xu, 2020. "Secure Communication Scheme Based on a New 5D Multistable Four-Wing Memristive Hyperchaotic System with Disturbance Inputs," Complexity, Hindawi, vol. 2020, pages 1-16, January.
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    Cited by:

    1. Oscar Camps & Stavros G. Stavrinides & Carol de Benito & Rodrigo Picos, 2022. "Implementation of the Hindmarsh–Rose Model Using Stochastic Computing," Mathematics, MDPI, vol. 10(23), pages 1-11, December.

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