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Cited 4 time in webofscience Cited 4 time in scopus
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Deep Sleep Mode Based NodeMCU-Enabled Humidity Sensor Nodes Monitoring for Low-Power IoT

Authors
Kim, Kyeong HeonKim, Hee-Dong
Issue Date
Dec-2020
Publisher
SPRINGER
Keywords
Deep sleep; NodeMCU; Low-power; IoT; Sensor nodes
Citation
TRANSACTIONS ON ELECTRICAL AND ELECTRONIC MATERIALS, v.21, no.6, pp 617 - 620
Pages
4
Indexed
SCOPUS
ESCI
KCI
Journal Title
TRANSACTIONS ON ELECTRICAL AND ELECTRONIC MATERIALS
Volume
21
Number
6
Start Page
617
End Page
620
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/5829
DOI
10.1007/s42341-020-00236-6
ISSN
1229-7607
2092-7592
Abstract
In this paper, we provided an efficient way to reduce the power consumption of sensor nodes in an IoT ecosystem. In many cases, IoT objects are battery powered and need to be energy efficient as the most important requirement in order to have a stable operation over long periods of time. The deep sleep mode is used for low power monitoring of NodeMCU. Commercial humidity sensors normally sleep and wake up once an hour to measure soil humidity. The measured humidity data was transmitted wirelessly to Google Sheets via a NodeMCU Wi-Fi module. The user can check the humidity of the soil by referring to the transmitted data values. The power consumption was reduced by about 83% for 1 h than compared to the always awake mode.
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융합기술공과대학 > Division of Converged Electronic Engineering > Journal Articles

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Kim, Kyeong Heon
IT공과대학 (전자공학부)
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