01357nas a2200217   4500000000100000000000100001008004100002100002300043700002400066700001900090700001900109700002300128700001900151700001800170700002200188245006400210856004500274490000700319520079900326022001401125       2023                            d1 aSergey Bushelenkov1 aAlexander Paramonov1 aAmmar Muthanna1 aAhmed El-Latif1 aAndrey Koucheryavy1 aOsama Alfarraj1 aPawel Plawiak1 aAbdelhamied Ateya00aMulti-Story Building Model for Efficient IoT Network Design  uhttps://www.mdpi.com/2227-7390/11/6/14030 v113 a<p>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.</p>
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