Avaliação da propagação do sinal LoRa e desenvolvimento de um método para auxiliar o planejamento de redes IoT usando otimização do modelo de Hata

Detalhes bibliográficos
Ano de defesa: 2019
Autor(a) principal: Soares, Afonso Januário Pujoni
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Uberlândia
Brasil
Programa de Pós-graduação em Engenharia Elétrica
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: https://repositorio.ufu.br/handle/123456789/24976
http://dx.doi.org/10.14393/ufu.di.2019.1267
Resumo: According to the Internet of Things (IoT) paradigm, the demand for communication between devices has been growing steadily. Various communication patterns have emerged and today compete with each other for application niches. Among these standards are the wide-ranging and low-power networks (LPWANs), which have continuously aroused the interest of the information technology and telecommunications (ICT) industry. In particular, LoRa® communication technology has been gaining constant prominence, especially in applications associated with smart grids. However, the initiatives are still incipient. Considering this scenario, this work has as one of its objectives to evaluate some scenarios of propagation of the LoRa signal and based on measurements collected in the field, to use these values to feed an adapted model of propagation. This model employs the Hata technique as the basis and can be used as an information source for the planning of IoT networks in scenarios applicable to smart grids. In addition, some QoS parameters are also evaluated to characterize the physical layer behavior of the LoRa signal. Even in different scenarios, the results showed that urban cells with an approximate radius of 2 km in unlicensed band (~915 MHz) typically achieve typical packet delivery rates ranging from 75% to 100%. Based on the models produced here and in association with results found in other studies, it is estimated that LoRa technology is a strong candidate for the provision of communication infrastructure for some smart grids services and that the graphic propagation models produced here can corroborate IoT network planning activities.