3rd EAI International Conference on Management of Manufacturing Systems

Research Article

Data optimization for communication between wireless IoT devices and Cloud platforms in production process

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  • @INPROCEEDINGS{10.4108/eai.6-11-2018.2279672,
        author={Kamil Zidek and Dagmar Janacova and Alexander Hosovsky and Jan Pitel and Peter Lazorik},
        title={Data optimization for communication between wireless IoT devices and Cloud platforms in production process},
        proceedings={3rd EAI International Conference on Management of Manufacturing Systems},
        publisher={EAI},
        proceedings_a={MMS},
        year={2018},
        month={12},
        keywords={wireless technologies iot devices clouds platforms sensors},
        doi={10.4108/eai.6-11-2018.2279672}
    }
    
  • Kamil Zidek
    Dagmar Janacova
    Alexander Hosovsky
    Jan Pitel
    Peter Lazorik
    Year: 2018
    Data optimization for communication between wireless IoT devices and Cloud platforms in production process
    MMS
    EAI
    DOI: 10.4108/eai.6-11-2018.2279672
Kamil Zidek1,*, Dagmar Janacova2, Alexander Hosovsky1, Jan Pitel1, Peter Lazorik1
  • 1: Technical University of Kosice, Faculty of Production Technologies with a seat in Presov, Department of Industrial Engineering and Informatics
  • 2: Tomas Bata University in Zlin, Faculty of Applied Informatics, Department of Automation and Control Engineering
*Contact email: kamil.zidek@tuke.sk

Abstract

The article deals with optimization of input data for wireless IoT devices with database handled by cloud framework. Tested hardware consists of ESP32 board with Wi-Fi technology support (Thinger.IO cloud platform) and Sensor Tag development boards with integrated sensors and Bluetooth connection communicated with IBM Watson IoT framework. The new idea is how to send optimized measured data to IoT platform which is limited to one message per second usually. We propose two separate approaches for input data: accumulation data in IoT device to multi-value packet and noise elimination solved by advanced interpolation (Kalman filter). Both principles can be combined to reduce noise and increase of data frequency stored in cloud platform for next knowledge datamining.