A paradigm shift fully self-powered long-distance wireless sensing solution enabled by discharge-induced displacement current

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

13 Scopus Citations
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Author(s)

  • Haoyu Wang
  • Jiaqi Wang
  • Jingjing Fu
  • Xin Xia
  • Ruirui Zhang
  • Guoqiang Xu
  • Lingyun Wang
  • Jingchao Yang
  • Jie Lai
  • Yuan Dai
  • Zhengyou Zhang
  • Anyin Li
  • Yuyan Zhu
  • Zhong Lin Wang
  • Yunlong Zi

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Detail(s)

Original languageEnglish
Article numbereabi6751
Journal / PublicationScience Advances
Volume7
Issue number39
Online published22 Sep 2021
Publication statusPublished - 24 Sep 2021

Link(s)

Abstract

The rapid development of the Internet of Things depends on wireless devices and their network. Traditional wireless sensing and transmission technology still requires multiple modules for sensing, signal modulation, transmission, and power, making the whole system bulky, rigid, and costly. Here, we proposed a paradigm shift wireless sensing solution based on the breakdown discharge–induced displacement current. Through that, we can combine the abovementioned functional modules in a single unit of self-powered wireless sensing e-sticker (SWISE), which features a small size (down to 9 mm by 9 mm) and long effective transmission distance (>30 m) when compared to existing wireless sensing technologies. Furthermore, SWISEs have functions of multipoint motion sensing and gas detection in fully self-powered manner. This work proposes a solution for flexible self-powered wireless sensing platforms, which shows great potential for implantable and wearable electronics, robotics, health care, infrastructure monitoring, human-machine interface, virtual reality, etc.

Research Area(s)

Citation Format(s)

A paradigm shift fully self-powered long-distance wireless sensing solution enabled by discharge-induced displacement current. / Wang, Haoyu; Wang, Jiaqi; Yao, Kuanming; Fu, Jingjing; Xia, Xin; Zhang, Ruirui; Li, Jiyu; Xu, Guoqiang; Wang, Lingyun; Yang, Jingchao; Lai, Jie; Dai, Yuan; Zhang, Zhengyou; Li, Anyin; Zhu, Yuyan; Yu, Xinge; Wang, Zhong Lin; Zi, Yunlong.

In: Science Advances, Vol. 7, No. 39, eabi6751, 24.09.2021.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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