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Recent Progress in Self-Powered Wireless Sensors and Systems Based on TENG
With the development of 5G, artificial intelligence, and the Internet of Things, diversified sensors (such as the signal acquisition module) have become more and more important in people’s daily life. According to the extensive use of various distributed wireless sensors, powering them has become a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921943/ https://www.ncbi.nlm.nih.gov/pubmed/36772369 http://dx.doi.org/10.3390/s23031329 |
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author | Li, Yonghai Yu, Jinran Wei, Yichen Wang, Yifei Feng, Zhenyu Cheng, Liuqi Huo, Ziwei Lei, Yanqiang Sun, Qijun |
author_facet | Li, Yonghai Yu, Jinran Wei, Yichen Wang, Yifei Feng, Zhenyu Cheng, Liuqi Huo, Ziwei Lei, Yanqiang Sun, Qijun |
author_sort | Li, Yonghai |
collection | PubMed |
description | With the development of 5G, artificial intelligence, and the Internet of Things, diversified sensors (such as the signal acquisition module) have become more and more important in people’s daily life. According to the extensive use of various distributed wireless sensors, powering them has become a big problem. Among all the powering methods, the self-powered sensor system based on triboelectric nanogenerators (TENGs) has shown its superiority. This review focuses on four major application areas of wireless sensors based on TENG, including environmental monitoring, human monitoring, industrial production, and daily life. The perspectives and outlook of the future development of self-powered wireless sensors are discussed. |
format | Online Article Text |
id | pubmed-9921943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99219432023-02-12 Recent Progress in Self-Powered Wireless Sensors and Systems Based on TENG Li, Yonghai Yu, Jinran Wei, Yichen Wang, Yifei Feng, Zhenyu Cheng, Liuqi Huo, Ziwei Lei, Yanqiang Sun, Qijun Sensors (Basel) Review With the development of 5G, artificial intelligence, and the Internet of Things, diversified sensors (such as the signal acquisition module) have become more and more important in people’s daily life. According to the extensive use of various distributed wireless sensors, powering them has become a big problem. Among all the powering methods, the self-powered sensor system based on triboelectric nanogenerators (TENGs) has shown its superiority. This review focuses on four major application areas of wireless sensors based on TENG, including environmental monitoring, human monitoring, industrial production, and daily life. The perspectives and outlook of the future development of self-powered wireless sensors are discussed. MDPI 2023-01-24 /pmc/articles/PMC9921943/ /pubmed/36772369 http://dx.doi.org/10.3390/s23031329 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Li, Yonghai Yu, Jinran Wei, Yichen Wang, Yifei Feng, Zhenyu Cheng, Liuqi Huo, Ziwei Lei, Yanqiang Sun, Qijun Recent Progress in Self-Powered Wireless Sensors and Systems Based on TENG |
title | Recent Progress in Self-Powered Wireless Sensors and Systems Based on TENG |
title_full | Recent Progress in Self-Powered Wireless Sensors and Systems Based on TENG |
title_fullStr | Recent Progress in Self-Powered Wireless Sensors and Systems Based on TENG |
title_full_unstemmed | Recent Progress in Self-Powered Wireless Sensors and Systems Based on TENG |
title_short | Recent Progress in Self-Powered Wireless Sensors and Systems Based on TENG |
title_sort | recent progress in self-powered wireless sensors and systems based on teng |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921943/ https://www.ncbi.nlm.nih.gov/pubmed/36772369 http://dx.doi.org/10.3390/s23031329 |
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