Synchronization of Analog-Discrete Chaotic Systems for Wireless Sensor Network Design
The current work is focused on studying the performance of the Pecora–Carroll synchronization technique to achieve synchronization between the analog and discrete chaos oscillators. The importance of this study is supported by the growing applications of chaotic systems for improving the security of...
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MDPI AG
2024-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/2/915 |
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| author | Ruslans Babajans Darja Cirjulina Filips Capligins Deniss Kolosovs Anna Litvinenko |
| author_facet | Ruslans Babajans Darja Cirjulina Filips Capligins Deniss Kolosovs Anna Litvinenko |
| author_sort | Ruslans Babajans |
| collection | DOAJ |
| description | The current work is focused on studying the performance of the Pecora–Carroll synchronization technique to achieve synchronization between the analog and discrete chaos oscillators. The importance of this study is supported by the growing applications of chaotic systems for improving the security of data transmission in various communication layers, primarily on the physical layer. The hybrid analog-discrete approach of implementing chaos oscillators opens new possible communication schemes for wireless sensor network (WSN) applications. The analog implementation of chaos oscillators can benefit the simpler sensor node (SN) integration, while the discrete implementation can be used on the gateway. However, the core of such chaos-based communications is synchronizing analog and discrete chaos oscillators. This work studies two key parameters of analog-discrete chaotic synchronization: chaotic synchronization noise immunity and synchronization speed. The noise immunity study demonstrates the quality of synchronization at various noise levels, while the synchronization speed demonstrates how quickly the analog-discrete synchronization is achieved, along with how quickly the two systems diverge when synchronization is no longer present. The two studies use both simulation-based and hardware-based approaches. In the simulation case, the analog oscillator’s circuit is modeled in LTspice XVII, while in the hardware case, the circuit is implemented on the PCB. In both simulation and hardware studies, the discrete model of the oscillator is implemented in MATLAB R2023b. The studies are performed for two pairs of different chaos oscillators to widen the proposed approach application potential: the Vilnius and RC chaos oscillators. The oscillators have been selected due to their simplicity and similar dynamic behavior for model-based and electrical circuit implementation. The proposed approach also allows us to compare the synchronization of different oscillators in the analog-discrete implementation. |
| first_indexed | 2024-03-08T09:57:42Z |
| format | Article |
| id | doaj.art-4c53e5bfd9dd41158ded3f5b38c2f4f4 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-08T09:57:42Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-4c53e5bfd9dd41158ded3f5b38c2f4f42024-01-29T13:45:55ZengMDPI AGApplied Sciences2076-34172024-01-0114291510.3390/app14020915Synchronization of Analog-Discrete Chaotic Systems for Wireless Sensor Network DesignRuslans Babajans0Darja Cirjulina1Filips Capligins2Deniss Kolosovs3Anna Litvinenko4Institute of Photonics, Electronics and Telecommunications, Riga Technical University, Kipsalas St. 6A, LV-1048 Riga, LatviaInstitute of Photonics, Electronics and Telecommunications, Riga Technical University, Kipsalas St. 6A, LV-1048 Riga, LatviaInstitute of Photonics, Electronics and Telecommunications, Riga Technical University, Kipsalas St. 6A, LV-1048 Riga, LatviaInstitute of Photonics, Electronics and Telecommunications, Riga Technical University, Kipsalas St. 6A, LV-1048 Riga, LatviaInstitute of Photonics, Electronics and Telecommunications, Riga Technical University, Kipsalas St. 6A, LV-1048 Riga, LatviaThe current work is focused on studying the performance of the Pecora–Carroll synchronization technique to achieve synchronization between the analog and discrete chaos oscillators. The importance of this study is supported by the growing applications of chaotic systems for improving the security of data transmission in various communication layers, primarily on the physical layer. The hybrid analog-discrete approach of implementing chaos oscillators opens new possible communication schemes for wireless sensor network (WSN) applications. The analog implementation of chaos oscillators can benefit the simpler sensor node (SN) integration, while the discrete implementation can be used on the gateway. However, the core of such chaos-based communications is synchronizing analog and discrete chaos oscillators. This work studies two key parameters of analog-discrete chaotic synchronization: chaotic synchronization noise immunity and synchronization speed. The noise immunity study demonstrates the quality of synchronization at various noise levels, while the synchronization speed demonstrates how quickly the analog-discrete synchronization is achieved, along with how quickly the two systems diverge when synchronization is no longer present. The two studies use both simulation-based and hardware-based approaches. In the simulation case, the analog oscillator’s circuit is modeled in LTspice XVII, while in the hardware case, the circuit is implemented on the PCB. In both simulation and hardware studies, the discrete model of the oscillator is implemented in MATLAB R2023b. The studies are performed for two pairs of different chaos oscillators to widen the proposed approach application potential: the Vilnius and RC chaos oscillators. The oscillators have been selected due to their simplicity and similar dynamic behavior for model-based and electrical circuit implementation. The proposed approach also allows us to compare the synchronization of different oscillators in the analog-discrete implementation.https://www.mdpi.com/2076-3417/14/2/915chaoschaotic modelingchaos oscillatorchaotic synchronizationwireless sensor networksinternet of things |
| spellingShingle | Ruslans Babajans Darja Cirjulina Filips Capligins Deniss Kolosovs Anna Litvinenko Synchronization of Analog-Discrete Chaotic Systems for Wireless Sensor Network Design Applied Sciences chaos chaotic modeling chaos oscillator chaotic synchronization wireless sensor networks internet of things |
| title | Synchronization of Analog-Discrete Chaotic Systems for Wireless Sensor Network Design |
| title_full | Synchronization of Analog-Discrete Chaotic Systems for Wireless Sensor Network Design |
| title_fullStr | Synchronization of Analog-Discrete Chaotic Systems for Wireless Sensor Network Design |
| title_full_unstemmed | Synchronization of Analog-Discrete Chaotic Systems for Wireless Sensor Network Design |
| title_short | Synchronization of Analog-Discrete Chaotic Systems for Wireless Sensor Network Design |
| title_sort | synchronization of analog discrete chaotic systems for wireless sensor network design |
| topic | chaos chaotic modeling chaos oscillator chaotic synchronization wireless sensor networks internet of things |
| url | https://www.mdpi.com/2076-3417/14/2/915 |
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