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Underwater wireless communication via TENG-generated Maxwell’s displacement current

Author

Listed:
  • Hongfa Zhao

    (Dalian Maritime University
    Tsinghua University)

  • Minyi Xu

    (Dalian Maritime University)

  • Mingrui Shu

    (Dalian Maritime University)

  • Jie An

    (Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences)

  • Wenbo Ding

    (Tsinghua University)

  • Xiangyu Liu

    (Dalian Maritime University)

  • Siyuan Wang

    (Dalian Maritime University)

  • Cong Zhao

    (Dalian Maritime University)

  • Hongyong Yu

    (Dalian Maritime University)

  • Hao Wang

    (Dalian Maritime University)

  • Chuan Wang

    (Dalian Maritime University)

  • Xianping Fu

    (Dalian Maritime University)

  • Xinxiang Pan

    (Dalian Maritime University)

  • Guangming Xie

    (Dalian Maritime University
    Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
    Peking University)

  • Zhong Lin Wang

    (Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences
    School of Materials Science and Engineering, Georgia Institute of Technology)

Abstract

Underwater communication is a critical and challenging issue, on account of the complex underwater environment. This study introduces an underwater wireless communication approach via Maxwell’s displacement current generated by a triboelectric nanogenerator. Underwater electric field can be generated through a wire connected to a triboelectric nanogenerator, while current signal can be inducted in an underwater receiver certain distance away. The received current signals are basically immune to disturbances from salinity, turbidity and submerged obstacles. Even after passing through a 100 m long spiral water pipe, the electric signals are not distorted in waveform. By modulating and demodulating the current signals generated by a sound driven triboelectric nanogenerator, texts and images can be transmitted in a water tank at 16 bits/s. An underwater lighting system is operated by the triboelectric nanogenerator-based voice-activated controller wirelessly. This triboelectric nanogenerator-based approach can form the basis for an alternative wireless communication in complex underwater environments.

Suggested Citation

  • Hongfa Zhao & Minyi Xu & Mingrui Shu & Jie An & Wenbo Ding & Xiangyu Liu & Siyuan Wang & Cong Zhao & Hongyong Yu & Hao Wang & Chuan Wang & Xianping Fu & Xinxiang Pan & Guangming Xie & Zhong Lin Wang, 2022. "Underwater wireless communication via TENG-generated Maxwell’s displacement current," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31042-8
    DOI: 10.1038/s41467-022-31042-8
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    References listed on IDEAS

    as
    1. Jules S. Jaffe & Peter J. S. Franks & Paul L. D. Roberts & Diba Mirza & Curt Schurgers & Ryan Kastner & Adrien Boch, 2017. "A swarm of autonomous miniature underwater robot drifters for exploring submesoscale ocean dynamics," Nature Communications, Nature, vol. 8(1), pages 1-8, April.
    2. Yufeng Chen & Neel Doshi & Benjamin Goldberg & Hongqiang Wang & Robert J. Wood, 2018. "Controllable water surface to underwater transition through electrowetting in a hybrid terrestrial-aquatic microrobot," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
    3. Yang Zou & Puchuan Tan & Bojing Shi & Han Ouyang & Dongjie Jiang & Zhuo Liu & Hu Li & Min Yu & Chan Wang & Xuecheng Qu & Luming Zhao & Yubo Fan & Zhong Lin Wang & Zhou Li, 2019. "A bionic stretchable nanogenerator for underwater sensing and energy harvesting," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    4. Chen Chen & Zhen Wen & Jihong Shi & Xiaohua Jian & Peiyang Li & John T. W. Yeow & Xuhui Sun, 2020. "Micro triboelectric ultrasonic device for acoustic energy transfer and signal communication," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    5. Hang Yang & Yaokun Pang & Tianzhao Bu & Wenbo Liu & Jianjun Luo & Dongdong Jiang & Chi Zhang & Zhong Lin Wang, 2019. "Triboelectric micromotors actuated by ultralow frequency mechanical stimuli," Nature Communications, Nature, vol. 10(1), pages 1-7, December.
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