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Detection and Determination of User Position Using Radio Tomography with Optimal Energy Consumption of Measuring Devices in Smart Buildings

Author

Listed:
  • Michał Styła

    (Research and Development Center of Information Technologies (CBRTI), 35-326 Rzeszów, Poland)

  • Edward Kozłowski

    (Faculty of Management, Lublin University of Technology, 20-618 Lublin, Poland)

  • Paweł Tchórzewski

    (Netrix S.A. Research and Development Center, 20-704 Lublin, Poland)

  • Dominik Gnaś

    (Research and Development Center of Information Technologies (CBRTI), 35-326 Rzeszów, Poland)

  • Przemysław Adamkiewicz

    (Research and Development Center of Information Technologies (CBRTI), 35-326 Rzeszów, Poland
    Faculty of Transport and Information Technology, WSEI University, 20-209 Lublin, Poland)

  • Jan Laskowski

    (Faculty of Management, Lublin University of Technology, 20-618 Lublin, Poland)

  • Sylwia Skrzypek-Ahmed

    (Faculty of Administration and Social Sciences, WSEI University, 20-209 Lublin, Poland)

  • Arkadiusz Małek

    (Faculty of Transport and Information Technology, WSEI University, 20-209 Lublin, Poland)

  • Dariusz Kasperek

    (Faculty of Transport and Information Technology, WSEI University, 20-209 Lublin, Poland)

Abstract

The main objective of the research presented in the following work was the adaptation of reflection-radar technology in a detection and navigation system using radio-tomographic imaging techniques. As key aspects of this work, the energy optimization of high-frequency transmitters can be considered for use inside buildings while maintaining user safety. The resulting building monitoring and control system using a network of intelligent sensors supported by artificial intelligence algorithms, such as logistic regression or neural networks, should be considered an outcome. This paper discusses the methodology for extracting information from signal echoes and how they were transported and aggregated. The data extracted in this way were used to support user navigation through a building, optimize energy based on presence information, and increase the facility’s overall security level. A band from 5 GHz to 6 GHz was chosen as the carrier frequency of the signals, representing a compromise between energy expenditure, range, and the properties of wave behavior in contact with different types of matter. The system includes proprietary hardware solutions that allow parameters to be adjusted over the entire range and guarantee adaptation for RTI (radio tomography imaging) technology.

Suggested Citation

  • Michał Styła & Edward Kozłowski & Paweł Tchórzewski & Dominik Gnaś & Przemysław Adamkiewicz & Jan Laskowski & Sylwia Skrzypek-Ahmed & Arkadiusz Małek & Dariusz Kasperek, 2024. "Detection and Determination of User Position Using Radio Tomography with Optimal Energy Consumption of Measuring Devices in Smart Buildings," Energies, MDPI, vol. 17(11), pages 1-16, June.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2757-:d:1408936
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    References listed on IDEAS

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    1. Katarina Bäcklund & Marco Molinari & Per Lundqvist & Björn Palm, 2023. "Building Occupants, Their Behavior and the Resulting Impact on Energy Use in Campus Buildings: A Literature Review with Focus on Smart Building Systems," Energies, MDPI, vol. 16(17), pages 1-21, August.
    2. Dariusz Wójcik & Tomasz Rymarczyk & Bartosz Przysucha & Michał Gołąbek & Dariusz Majerek & Tomasz Warowny & Manuchehr Soleimani, 2023. "Energy Reduction with Super-Resolution Convolutional Neural Network for Ultrasound Tomography," Energies, MDPI, vol. 16(3), pages 1-14, January.
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    5. Ridgeway, Greg, 2002. "Looking for lumps: boosting and bagging for density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 38(4), pages 379-392, February.
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