Distributed Sensing Via Inductively Coupled Single-Transistor Chaotic Oscillators: A New Approach and Its Experimental Proof-of-Concept
Emerging applications across environmental, biomedical, and structural monitoring require the measurement of physical variables over extended regions. Because addressing many sensors individually can result in impractical bandwidth and power requirements, there is a need for distributed sensing appr...
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IEEE
2020-01-01
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Online Access: | https://ieeexplore.ieee.org/document/9007722/ |
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author | Ludovico Minati Korkut Kaan Tokgoz Mattia Frasca Yasuharu Koike Jacopo Iannacci Natsue Yoshimura Kazuya Masu Hiroyuki Ito |
author_facet | Ludovico Minati Korkut Kaan Tokgoz Mattia Frasca Yasuharu Koike Jacopo Iannacci Natsue Yoshimura Kazuya Masu Hiroyuki Ito |
author_sort | Ludovico Minati |
collection | DOAJ |
description | Emerging applications across environmental, biomedical, and structural monitoring require the measurement of physical variables over extended regions. Because addressing many sensors individually can result in impractical bandwidth and power requirements, there is a need for distributed sensing approaches wherein readouts are obtained directly at the ensemble level. In turn, this generally requires sensor nodes capable of interacting with each other to implement the required readout statistic. Here, the first practical steps towards approaching this challenge via a nonlinear analog approach based on chaotic synchronization are presented. Namely, single-transistor oscillators, representing remarkably low-complexity yet highly-flexible entities, are experimentally found to be suitable for wireless coupling via mutual induction, realizing a simple form of telemetry for luminous flux. Via numerical simulations and numerous laboratory experiments, a rich repertoire of possible interactions among multiple sensor nodes and between the same and an external exciter is demonstrated, encompassing synchronization, desynchronization, relay effects, and chaotic transitions. Together, these results reveal the possibility and means of accurately estimating the average of a distributed physical magnitude from the complexity of ensemble dynamics. This new approach contributes an important blueprint for future work using simple chaotic circuits in sensing applications. |
first_indexed | 2024-12-16T07:03:40Z |
format | Article |
id | doaj.art-30335dfdadb04e069acc13e934995472 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-16T07:03:40Z |
publishDate | 2020-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-30335dfdadb04e069acc13e9349954722022-12-21T22:40:05ZengIEEEIEEE Access2169-35362020-01-018365363655510.1109/ACCESS.2020.29761399007722Distributed Sensing Via Inductively Coupled Single-Transistor Chaotic Oscillators: A New Approach and Its Experimental Proof-of-ConceptLudovico Minati0https://orcid.org/0000-0002-2532-1674Korkut Kaan Tokgoz1https://orcid.org/0000-0002-5724-6349Mattia Frasca2https://orcid.org/0000-0002-4361-0576Yasuharu Koike3https://orcid.org/0000-0002-8169-0044Jacopo Iannacci4https://orcid.org/0000-0001-6462-4814Natsue Yoshimura5https://orcid.org/0000-0002-7495-9113Kazuya Masu6https://orcid.org/0000-0002-7121-8440Hiroyuki Ito7https://orcid.org/0000-0002-5687-0019Tokyo Tech World Research Hub Initiative (WRHI), Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, JapanResearch Center for Earth Inclusive Sensing, Tokyo Institute of Technology, Yokohama, JapanDepartment of Electrical, Electronics, and Computer Engineering (DIEEI), University of Catania, Catania, ItalyFIRST, Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, JapanCenter for Materials and Microsystems (CMM), Fondazione Bruno Kessler (FBK), Trento, ItalyFIRST, Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, JapanTokyo Institute of Technology, Tokyo, JapanFIRST, Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, JapanEmerging applications across environmental, biomedical, and structural monitoring require the measurement of physical variables over extended regions. Because addressing many sensors individually can result in impractical bandwidth and power requirements, there is a need for distributed sensing approaches wherein readouts are obtained directly at the ensemble level. In turn, this generally requires sensor nodes capable of interacting with each other to implement the required readout statistic. Here, the first practical steps towards approaching this challenge via a nonlinear analog approach based on chaotic synchronization are presented. Namely, single-transistor oscillators, representing remarkably low-complexity yet highly-flexible entities, are experimentally found to be suitable for wireless coupling via mutual induction, realizing a simple form of telemetry for luminous flux. Via numerical simulations and numerous laboratory experiments, a rich repertoire of possible interactions among multiple sensor nodes and between the same and an external exciter is demonstrated, encompassing synchronization, desynchronization, relay effects, and chaotic transitions. Together, these results reveal the possibility and means of accurately estimating the average of a distributed physical magnitude from the complexity of ensemble dynamics. This new approach contributes an important blueprint for future work using simple chaotic circuits in sensing applications.https://ieeexplore.ieee.org/document/9007722/Chaoschaotic oscillatorcorrelation dimensiondistributed sensingentropyinductive coupling |
spellingShingle | Ludovico Minati Korkut Kaan Tokgoz Mattia Frasca Yasuharu Koike Jacopo Iannacci Natsue Yoshimura Kazuya Masu Hiroyuki Ito Distributed Sensing Via Inductively Coupled Single-Transistor Chaotic Oscillators: A New Approach and Its Experimental Proof-of-Concept IEEE Access Chaos chaotic oscillator correlation dimension distributed sensing entropy inductive coupling |
title | Distributed Sensing Via Inductively Coupled Single-Transistor Chaotic Oscillators: A New Approach and Its Experimental Proof-of-Concept |
title_full | Distributed Sensing Via Inductively Coupled Single-Transistor Chaotic Oscillators: A New Approach and Its Experimental Proof-of-Concept |
title_fullStr | Distributed Sensing Via Inductively Coupled Single-Transistor Chaotic Oscillators: A New Approach and Its Experimental Proof-of-Concept |
title_full_unstemmed | Distributed Sensing Via Inductively Coupled Single-Transistor Chaotic Oscillators: A New Approach and Its Experimental Proof-of-Concept |
title_short | Distributed Sensing Via Inductively Coupled Single-Transistor Chaotic Oscillators: A New Approach and Its Experimental Proof-of-Concept |
title_sort | distributed sensing via inductively coupled single transistor chaotic oscillators a new approach and its experimental proof of concept |
topic | Chaos chaotic oscillator correlation dimension distributed sensing entropy inductive coupling |
url | https://ieeexplore.ieee.org/document/9007722/ |
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