People effects on IoT indoor wireless channel characterization
| Autor: | Millena Michely Medeiros Campos, Mateus Oliveira Mattos, Rafael Silva Macedo, Alvaro Augusto Machado Medeiros, Wellerson Viana Oliveira, Vicente Angelo Sousa Junior |
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| Jazyk: | English<br />Portuguese |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Revista Principia, Vol 1, Iss 53, Pp 141-149 (2021) |
| Druh dokumentu: | article |
| ISSN: | 1517-0306 2447-9187 |
| DOI: | 10.18265/1517-0306a2020v1n53p141-149 |
| Popis: | Wireless communication under 1 GHz is suitable for Internet of Things (IoT) applications due to larger coverage capability with less power consumption. Bearing in mind that people and elements contained in the environment can cause variations in the channel, this paper aims to evaluate the effect of the presence of people on a 900-MHz indoor narrowband wireless channel, as we characterize the small-scale phenomena. With the increase in the number of people, a greater variation in the communication channel was noticed, which is reflected in the parameters of the probability distributions used in the characterization of the random part of the signal. In addition, second-order statistics were used to analyze the data and an adherence test was applied to confirm the behavior of the signal in relation to the distributions. |
| Databáze: | Directory of Open Access Journals |
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