Nishikaze: Self-Sustained Wind Power Supply Employing Potential Energy Conversion Method

Fumio Teraoka, Shinichi Nishiura, Hiroyuki Ohno

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In an IoT (Internet of Things) system, if image data can be collected in addition to sensor data, the amount of information obtained will increase significantly, which is very useful for monitoring natural disasters, for example. Considering communication speed and covering range, it is assumed that Wi-Fi multi-hop communication is appropriate for image data transmission. Since Wi-Fi consumes a large amount of power, a power supply for sensor nodes is required. Therefore, we are developing a self-sustaining wind power supply called Nishikaze which employs the potential energy conversion method. In this paper, we produced the Nishikaze second prototype. The measurement results of the amount of the generated power show that the Nishikaze second prototype can cover the power required to transmit an image of 500 kbytes at a 10 minute interval assuming that 3 m/s of wind blows for 6 hours in a day, 100 % of the generated power is available, and the active period of sensor nodes is 5 seconds.

Original languageEnglish
Title of host publicationICDCN 2021 - Adjunct Proceedings of the 2021 International Conference on Distributed Computing and Networking
PublisherAssociation for Computing Machinery
Pages151-156
Number of pages6
ISBN (Electronic)9781450381840
DOIs
Publication statusPublished - 2021 Jan 5
Event22nd International Conference on Distributed Computing and Networking, ICDCN 2021 - Virtual, Online, Japan
Duration: 2021 Jan 52021 Jan 8

Publication series

NameACM International Conference Proceeding Series

Conference

Conference22nd International Conference on Distributed Computing and Networking, ICDCN 2021
CountryJapan
CityVirtual, Online
Period21/1/521/1/8

Keywords

  • ambient energy harvesting
  • IoT
  • potential energy conversion method
  • self-sustained wind power supply

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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