Multi-Story Building Model for Efficient IoT Network Design-Reference-Cited by-同舟云学术

Multi-Story Building Model for Efficient IoT Network Design

Published:2023-03-14 Issue:6 Volume:11 Page:1403
ISSN:2227-7390
Container-title:Mathematics
language:en
Short-container-title:Mathematics

Author:

Bushelenkov Sergey¹,Paramonov Alexander²^ORCID,Muthanna Ammar²^ORCID,El-Latif Ahmed A. Abd²³^ORCID,Koucheryavy Andrey²,Alfarraj Osama⁴^ORCID,Pławiak Paweł⁵⁶^ORCID,Ateya Abdelhamied A.⁷^ORCID

Affiliation:

1. North-West Macroregional Branch of PJSC Rostelecom, 191186 Saint Petersburg, Russia

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

3. Department of Mathematics and Computer Science, Faculty of Science, Menoufia University, Shibin el Kom 32511, Egypt

4. Computer Science Department, Community College, King Saud University, Riyadh 11437, Saudi Arabia

5. Department of Computer Science, Faculty of Computer Science and Telecommunications, Cracow University of Technology, Warszawska 24, 31-155 Krakow, Poland

6. Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100 Gliwice, Poland

7. 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.

Funder

King Saud University, Riyadh, Saudi Arabia

Ministry of Science and High Education of the Russian Federation

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Link

https://www.mdpi.com/2227-7390/11/6/1403/pdf

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