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

Michał Styła (), Edward Kozłowski, Paweł Tchórzewski, Dominik Gnaś, Przemysław Adamkiewicz, Jan Laskowski, Sylwia Skrzypek-Ahmed, Arkadiusz Małek and Dariusz Kasperek
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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
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

Energies, 2024, vol. 17, issue 11, 1-16

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.

Keywords: reflective technologies; radio tomography imaging; computational intelligence; energy optimization; smart buildings (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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