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Multi-Story Building Model for Efficient IoT Network Design

Author

Listed:
  • Sergey Bushelenkov

    (North-West Macroregional Branch of PJSC Rostelecom, 191186 Saint Petersburg, Russia)

  • Alexander Paramonov

    (Department of Telecommunication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, 193232 Saint Petersburg, Russia)

  • Ammar Muthanna

    (Department of Telecommunication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, 193232 Saint Petersburg, Russia)

  • Ahmed A. Abd El-Latif

    (Department of Telecommunication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, 193232 Saint Petersburg, Russia
    Department of Mathematics and Computer Science, Faculty of Science, Menoufia University, Shibin el Kom 32511, Egypt)

  • Andrey Koucheryavy

    (Department of Telecommunication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, 193232 Saint Petersburg, Russia)

  • Osama Alfarraj

    (Computer Science Department, Community College, King Saud University, Riyadh 11437, Saudi Arabia)

  • Paweł Pławiak

    (Department of Computer Science, Faculty of Computer Science and Telecommunications, Cracow University of Technology, Warszawska 24, 31-155 Krakow, Poland
    Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100 Gliwice, Poland)

  • Abdelhamied A. Ateya

    (Department of Electronics and Communications Engineering, Zagazig University, Zagazig 44519, Egypt)

Abstract

This article presents a new network model for IoT that is based on a multi-story building structure. The model locates network nodes in a regular, cubic lattice-like structure, resulting in an equation for the signal-to-noise ratio (SNR). The study also determines the relationship between traffic density, network density, and SNR. In addition, the article explores the potential of percolation theory in characterizing network functionality. The findings offer a new approach to network design and planning, allowing for selecting a network topology that meets criteria and requirements while ensuring connectivity and improving efficiency. The developed analytical apparatus provides valuable insights into the properties of the network and its applicability to specific conditions.

Suggested Citation

  • Sergey Bushelenkov & Alexander Paramonov & Ammar Muthanna & Ahmed A. Abd El-Latif & Andrey Koucheryavy & Osama Alfarraj & Paweł Pławiak & Abdelhamied A. Ateya, 2023. "Multi-Story Building Model for Efficient IoT Network Design," Mathematics, MDPI, vol. 11(6), pages 1-12, March.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:6:p:1403-:d:1097056
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