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Energy Harvesting and Low-Power Wireless Smart Sensors

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 2544

Special Issue Editors


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Guest Editor
Department of Electromechanical Engineering, University of Beira Interior, 6200-001 Covilhã, Portugal
Interests: energy harvest; smart sensors and transducers

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Guest Editor
Department of Industrial Engineering, Università degli Studi di Salerno, 84084 Fisciano, Italy
Interests: measurement; wireless sensor network; digital signal processing; instrumentation interfaces
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Guest Editor
Department of Engineering Technology, Miami University, Hamilton, OH 45011, USA
Interests: wireless sensor networks; internet of things; distributed control systems

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Guest Editor
Facultad Regional del Neuquen, Universidad Tecnológica Nacional, Neuquen, Argentina
Interests: sensors; signal processing

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Guest Editor
Department of Industrial Engineering, University of Salerno, 84084 Fisciano, Italy
Interests: instrument; measurement; signal processing; sensors; sensor fusion; embeeded system
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Harvesting energy from the smart sensor's environment is an attractive solution. This powering option avoids batteries and the associated work of replacing them, promoting energetic independence. The increasing development of new harvesting technologies contributes to the ability to scavenge energy from various sources and convert it into electrical energy. Energy sources span across various energetic manifestations, such as vibrations, thermal, electromagnetic radiation, chemical or biological. At the same time, the scientific community is researching the efficiency of the energy conversion process, power regulation and storage, maximum power point tracking methods, low power operation, and DC/DC and AC/DC converters. Energy also has a significant impact on smart sensor connectivity. Because of this, low-power network protocols are being proposed, originating new standards ready to be adopted by the industry. Papers targeting these challenges are invited to this Special Issue.

Dr. António Espirito-Santo
Dr. Vincenzo Paciello
Dr. Reza Abrishambaf
Dr. Gustavo Monte
Dr. Marco Carratù
Guest Editors

Manuscript Submission Information

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Keywords

  • energy conversion transducers
  • low-power methods and techniques
  • maximum power point tracking
  • DC/DC and AC/DC converters
  • energy storage
  • energy harvest in real-world smart sensor applications
  • developments and actions related to standardization
  • advanced techniques and platforms for development, verification, validation, and
  • benchmarking
  • low-power sensor signal processing
  • challenges and advances of low-power TinyML

Published Papers (1 paper)

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Research

11 pages, 3157 KiB  
Article
A Capacitive DC-DC Boost Converter with Gate Bias Boosting and Dynamic Body Biasing for an RF Energy Harvesting System
by Jiho Jung and Ickjin Kwon
Sensors 2023, 23(1), 395; https://doi.org/10.3390/s23010395 - 30 Dec 2022
Cited by 4 | Viewed by 1973
Abstract
In this paper, a fully integrated capacitive DC-DC boost converter for ultra-low-power internet of things (IoT) applications operating with RF energy harvesting is proposed. A DC-DC boost converter is needed to boost the low output voltage of the RF energy harvester to provide [...] Read more.
In this paper, a fully integrated capacitive DC-DC boost converter for ultra-low-power internet of things (IoT) applications operating with RF energy harvesting is proposed. A DC-DC boost converter is needed to boost the low output voltage of the RF energy harvester to provide a high voltage to the load. However, a boost converter operating at a low voltage supplied by ambient RF energy harvesting has a problem in that power conversion efficiency is significantly lowered. The proposed on-chip capacitive DC-DC boost converter simultaneously applies gate bias boosting and dynamic body biasing techniques using only the internal boosted voltage without an additional circuit that increases power loss to boost the voltage, achieving high efficiency at an input voltage as low as 0.1 V. The designed capacitive boost converter achieves a peak power conversion efficiency (PCE) of 33.8% at a very low input voltage of 0.1 V, a 14% improvement over the peak PCE of the conventional cross-coupled charge pump. A maximum peak PCE of 80.1% is achieved at an input voltage of 200 mV and a load current of 3 μA. The proposed capacitive boost converter is implemented with a total flying capacitance of 60 pF, suitable for on-chip integration. Full article
(This article belongs to the Special Issue Energy Harvesting and Low-Power Wireless Smart Sensors)
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