Experimental Study on Colpitts Chaotic Oscillator-Based Communication System Application for the Internet of Things

Cirjulina, Darja; Babajans, Ruslans; Capligins, Filips; Kolosovs, Deniss; Litvinenko, Anna

doi:10.3390/app14031180

Cited by 3 publications

(3 citation statements)

References 64 publications

(83 reference statements)

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“…Dynamical chaos has produced many fascinating applications across various scientific fields, e.g., quantum mechanics and nonlinear optics [1]; physical phenomena described by nonlinear Schrödinger equations [2]; chaotic communication systems [3,4]; celestial mechanics [5]; weather and climate investigation [6]; fluid dynamics [7] and chemical reactions [8]; and biological systems [9] and population dynamics [10]. One group of applications is of special interest and includes cryptography and trajectory-planning algorithms based on pseudorandom bit generation and chaos.…”

Section: Introductionmentioning

confidence: 99%

Chaotic Path-Planning Algorithm Based on Courbage–Nekorkin Artificial Neuron Model

Kvitko,

Rybin,

Bayazitov

et al. 2024

Mathematics

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Developing efficient path-planning algorithms is an essential topic in modern robotics and control theory. Autonomous rovers and wheeled and tracked robots require path generators that can efficiently cover the explorable space with minimal redundancy. In this paper, we present a new path-planning algorithm based on the chaotic behavior of the Courbage–Nekorkin neuron model with a coverage control parameter. Our study aims to reduce the number of iterations required to cover the chosen investigated area, which is a typical efficiency criterion for this class of algorithms. To achieve this goal, we implemented a pseudorandom bit generator (PRBG) based on a Courbage–Nekorkin chaotic map, which demonstrates chaotic behavior and successfully passes all statistical tests for randomness. The proposed PRBG generates a bit sequence that can be used to move the tracked robot in four or eight directions in an operation area of arbitrary size. Several statistical metrics were applied to evaluate the algorithm’s performance, including the percentage of coverage of the study area and the uniformity of coverage. The performance of several competing path-planning algorithms was analyzed using the chosen metrics when exploring two test areas of the sizes 50 × 50 cells and 100 × 100 cells, respectively, in four and eight directions. The experimental results indicate that the proposed algorithm is superior compared to known chaotic path-planning methods, providing more rapid and uniform coverage with the possibility of controlling the covered area using tunable parameters. In addition, this study revealed the high dependence of the coverage rate on the starting point. To investigate how the coverage rate depends on the choice of chaotic map, we implemented six different PRBGs using various chaotic maps. The obtained results can be efficiently used for solving path-planning tasks in both real-life and virtual (e.g., video games) applications.

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Section: Introductionmentioning

confidence: 99%

Chaotic Path-Planning Algorithm Based on Courbage–Nekorkin Artificial Neuron Model

Kvitko,

Rybin,

Bayazitov

et al. 2024

Mathematics

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“…Some other studies have been conducted on the use of chaotic oscillators in Internet of Things applications. Cirjulina et al [30] analyzed the characteristics and operational aspects of chaos oscillators with a focus on low-power functionality, resilient chaotic oscillations, and resistance to parameter variations and noise. This analysis was aimed at advancing secure communication methodologies for wireless sensor networks in the Internet of Things and highlights the significance of chaotic dynamics for ensuring robust and secure data transmission.…”

Section: Introductionmentioning

confidence: 99%

Coherent Chaotic Communication Using Generalized Runge–Kutta Method

Babkin,

Rybin,

Andreev

et al. 2024

Mathematics

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Computer simulation of continuous chaotic systems is usually performed using numerical methods. The discretization may introduce new properties into finite-difference models compared to their continuous prototypes and can therefore lead to new types of dynamical behavior exhibited by discrete chaotic systems. It is known that one can control the dynamics of a discrete system using a special class of integration methods. One of the applications of such a phenomenon is chaos-based communication systems, which have recently attracted attention due to their high covertness and broadband transmission capability. Proper modulation of chaotic carrier signals is one of the key problems in chaos-based communication system design. It is challenging to modulate and demodulate a chaotic signal in the same way as a conventional signal due to its noise-like shape and broadband characteristics. Therefore, the development of new modulation–demodulation techniques is of great interest in the field. One possible approach here is to use adaptive numerical integration, which allows control of the properties of the finite-difference chaotic model. In this study, we describe a novel modulation technique for chaos-based communication systems based on generalized explicit second-order Runge–Kutta methods. We use a specially designed test bench to evaluate the efficiency of the proposed modulation method and compare it with state-of-the-art solutions. Experimental results show that the proposed modulation technique outperforms the conventional parametric modulation method in both coverage and noise immunity. The obtained results can be efficiently applied to the design of advanced chaos-based communication systems as well as being used to improve existing architectures.

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“…This Special Issue titled "Wireless Communication: Applications, Security, and Reliability" covered all the above-mentioned topic areas. This made it possible to present, from a broad perspective, in one place most issues related to the use of wireless communications [1,2], possible threats [3,4], proposed solutions to increase the level of information [5], and biological safety [6].…”

Section: Introductionmentioning

confidence: 99%

Wireless Communication: Applications Security and Reliability—Present and Future

Kubiak

2024

Applied Sciences

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Information security is of great importance nowadays. This is related to the widespread use of new technologies in the development of long-distance communications and the use of increasingly “faster” signals. Information security can be considered in many areas of information processing, including wireless systems and wired systems that are based on electronic devices. Each of such devices is a source of electromagnetic disturbances but may also be sensitive to such disturbances. This Special Issue titled “Wireless Communication: Applications, Security, and Reliability” covers a broad spectrum of information security related to cybersecurity, cryptography, and electromagnetic protection. In each case, the information protection solutions used must keep up with the development of technologies used in information processing. The broad thematic area of this Special Issue was intended to encourage scientists and researchers to present their research results and the goals that this research was intended to serve. At the same time, it could allow for the exchange of knowledge and experience gained during the work on information security.

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Experimental Study on Colpitts Chaotic Oscillator-Based Communication System Application for the Internet of Things

Cited by 3 publications

References 64 publications

Chaotic Path-Planning Algorithm Based on Courbage–Nekorkin Artificial Neuron Model

Chaotic Path-Planning Algorithm Based on Courbage–Nekorkin Artificial Neuron Model

Coherent Chaotic Communication Using Generalized Runge–Kutta Method

Wireless Communication: Applications Security and Reliability—Present and Future

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