Implementing Energy Saving Techniques for Sensor Nodes in IoT Applications

Implementing Energy Saving Techniques for Sensor Nodes in IoT Applications

The technique is designed to optimize the energy consumption for sensor processing layer in Internet Of Things (IoT). Sleep time calculation algorithm is built on the gateway to predict the sleep time of sensor nodes according to information quality, information history, and remaining battery capaci...

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Bibliographic Details
Main Author: Huan Vo
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2018-12-01
Series:EAI Endorsed Transactions on Industrial Networks and Intelligent Systems
Subjects:
wireless sensor network
iot
data collection
low power
sleep mode
Online Access:https://eudl.eu/pdf/10.4108/eai.19-12-2018.156076
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spelling doaj-c5df972c96d14f2092b462921cb1aab82020-11-25T01:33:56ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Industrial Networks and Intelligent Systems2410-02182018-12-0151710.4108/eai.19-12-2018.156076Implementing Energy Saving Techniques for Sensor Nodes in IoT ApplicationsHuan Vo0Ho Chi Minh University of Technology and Education, Vietnam The technique is designed to optimize the energy consumption for sensor processing layer in Internet Of Things (IoT). Sleep time calculation algorithm is built on the gateway to predict the sleep time of sensor nodes according to information quality, information history, and remaining battery capacity. The power reduction techniques are designed to turn off the functions of node sensors in sleep mode. Sensor Node consumes 2.84% of battery power compared to 12.52% of reading data in a given cycle in 2 hours. Transmission results are 100% successful rate with distances less than 500m. The sensor node consumes 4.47mAh to 28.8mA, corresponding to one AA battery that can sustain the node from 15.6 hours to 11 days. The study also calculates the solar cell solution provided for sensor nodes.https://eudl.eu/pdf/10.4108/eai.19-12-2018.156076wireless sensor networkiotdata collectionlow powersleep mode
collection DOAJ
language English
format Article
sources DOAJ
author Huan Vo
spellingShingle Huan Vo
Implementing Energy Saving Techniques for Sensor Nodes in IoT Applications
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems
wireless sensor network
iot
data collection
low power
sleep mode
author_facet Huan Vo
author_sort Huan Vo
title Implementing Energy Saving Techniques for Sensor Nodes in IoT Applications
title_short Implementing Energy Saving Techniques for Sensor Nodes in IoT Applications
title_full Implementing Energy Saving Techniques for Sensor Nodes in IoT Applications
title_fullStr Implementing Energy Saving Techniques for Sensor Nodes in IoT Applications
title_full_unstemmed Implementing Energy Saving Techniques for Sensor Nodes in IoT Applications
title_sort implementing energy saving techniques for sensor nodes in iot applications
publisher European Alliance for Innovation (EAI)
series EAI Endorsed Transactions on Industrial Networks and Intelligent Systems
issn 2410-0218
publishDate 2018-12-01
description The technique is designed to optimize the energy consumption for sensor processing layer in Internet Of Things (IoT). Sleep time calculation algorithm is built on the gateway to predict the sleep time of sensor nodes according to information quality, information history, and remaining battery capacity. The power reduction techniques are designed to turn off the functions of node sensors in sleep mode. Sensor Node consumes 2.84% of battery power compared to 12.52% of reading data in a given cycle in 2 hours. Transmission results are 100% successful rate with distances less than 500m. The sensor node consumes 4.47mAh to 28.8mA, corresponding to one AA battery that can sustain the node from 15.6 hours to 11 days. The study also calculates the solar cell solution provided for sensor nodes.
topic wireless sensor network
iot
data collection
low power
sleep mode
url https://eudl.eu/pdf/10.4108/eai.19-12-2018.156076
work_keys_str_mv AT huanvo implementingenergysavingtechniquesforsensornodesiniotapplications
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