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Self-Powered Sensors for the Internet of Things (IoT) Applications

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

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 1953

Special Issue Editors


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Guest Editor
School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China
Interests: internet of things; self-powered sensor; energy harvesting technology; human-machine interaction; micro-nano electronic
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Electrical and Computer Engineering, National University of Singapore, Engineering Drive 3, Singapore 117576, Singapore
Interests: internet of things; wearable electronics; self-powered sensor; energy harvesting technology; micro-nano electronic

Special Issue Information

Dear Colleagues,

As network-connected systems of interconnected computing devices, mechanical and digital machines, objects, or people, the Internet of Things (IoT) linked with identifiable and analyzable communication channels has resulted in breakthroughs in environmental monitoring, structural health monitoring, intelligent transportation, human motion detection, and healthcare. Moreover, along with developments in energy-harvesting technologies such as photoelectrics, piezoelectrics, triboelectrics, and so on, self-powered sensors have been shown to have signal-proactive and energy-saving qualities, thus improving intelligence and efficiency in practical applications. Through active responses to external excitations and synchronous digitalization, distributed sensors provide a comprehensive digital application scenario with perceptive and interactive channels, as well as basic data for big data, machine learning, and artificial intelligence. This Special Issue on “Self-Powered Sensors for the Internet of Things (IoT) applications” aims to cover recent achievements in the fields of developing self-powered sensors with energy-harvesting technologies, integrating self-powered sensors with wireless sensor networks, and promoting advanced IoT applications with intelligence algorithms. In light of the above, this Special Issue solicits original research which advances fabrication, performance, accuracy, and efficiency in self-powered sensors. Surveys and reviews are also welcomed.

Dr. Long Liu
Prof. Dr. Qiongfeng Shi
Dr. Tianyiyi He
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • self-powered sensors
  • energy harvesting technologies
  • internet of things
  • artificial intelligence of things
  • human-machine interaction
  • nanotechnology
  • nanogenerators
  • micro-nano electronics
  • wearable electronics
  • micro-electromechanical systems
  • wireless sensor networks

Published Papers (1 paper)

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Research

10 pages, 3977 KiB  
Article
Frequency Modulation Approach for High Power Density 100 Hz Piezoelectric Vibration Energy Harvester
by Dengfeng Ju, Lu Wang, Chunlong Li, Hui Huang, Hongjing Liu, Kewen Liu, Qian Wang, Xiangguang Han, Libo Zhao and Ryutaro Maeda
Sensors 2022, 22(23), 9493; https://doi.org/10.3390/s22239493 - 05 Dec 2022
Viewed by 1315
Abstract
Piezoelectric vibration energy harvester (PVEH) is a promising device for sustainable power supply of wireless sensor nodes (WSNs). PVEH is resonant and generates power under constant frequency vibration excitation of mechanical equipment. However, it cannot output high power through off-resonance if it has [...] Read more.
Piezoelectric vibration energy harvester (PVEH) is a promising device for sustainable power supply of wireless sensor nodes (WSNs). PVEH is resonant and generates power under constant frequency vibration excitation of mechanical equipment. However, it cannot output high power through off-resonance if it has frequency offset in manufacturing, assembly and use. To address this issue, this paper designs and optimizes a PVEH to harvest power specifically from grid transformer vibration at 100 Hz with high power density of 5.28 μWmm−3g−2. Some resonant frequency modulation methods of PVEH are discussed by theoretical analysis and experiment, such as load impedance, additional mass, glue filling, axial and transverse magnetic force frequency modulation. Finally, efficient energy harvesting of 6.1 V output in 0.0226 g acceleration is tested in grid transformer reactor field application. This research has practical value for the design and optimization process of tunable PVEH for a specific vibration source. Full article
(This article belongs to the Special Issue Self-Powered Sensors for the Internet of Things (IoT) Applications)
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