inis 18(17): e1

Research Article

Implementing Energy Saving Techniques for Sensor Nodes in IoT Applications

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  • @ARTICLE{10.4108/eai.19-12-2018.156076,
        author={Huan Minh Vo},
        title={Implementing Energy Saving Techniques for Sensor Nodes in IoT Applications},
        journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems},
        volume={5},
        number={17},
        publisher={EAI},
        journal_a={INIS},
        year={2018},
        month={12},
        keywords={Wireless sensor network, IoT, data collection, low power, sleep mode},
        doi={10.4108/eai.19-12-2018.156076}
    }
    
  • Huan Minh Vo
    Year: 2018
    Implementing Energy Saving Techniques for Sensor Nodes in IoT Applications
    INIS
    EAI
    DOI: 10.4108/eai.19-12-2018.156076
Huan Minh Vo1,*
  • 1: Ho Chi Minh University of Technology and Education, Vietnam
*Contact email: huanvm@hcmute.edu.vn

Abstract

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.