Sistema para suporte à implantação e monitoramento de aplicações de campus inteligente baseado em protocolos de IoT
Over recent years a sharp growth in the concept of Internet of Things (IoT) has been observed as an infrastructure to effectively monitor and manage the studied environment. The modernisation of production chains, in particular Industry 4.0, was crucial to the popularization of the so-called “Intell...
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| Tipo de recurso: | tesis de maestría |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | Brasil |
| Institución: | Universidade Federal da Paraíba (UFPB) |
| Repositorio: | Biblioteca Digital de Teses e Dissertações da UFPB |
| Idioma: | portugués |
| OAI Identifier: | oai:repositorio.ufpb.br:123456789/22566 |
| Acceso en línea: | https://repositorio.ufpb.br/jspui/handle/123456789/22566 |
| Access Level: | acceso abierto |
| Palabra clave: | Campus inteligente IoT MQTT RSSF Smart campus WSNs CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
| Sumario: | Over recent years a sharp growth in the concept of Internet of Things (IoT) has been observed as an infrastructure to effectively monitor and manage the studied environment. The modernisation of production chains, in particular Industry 4.0, was crucial to the popularization of the so-called “Intelligent Monitoring Systems”. However, until recently, IoT devices were limited by computational capability, mainly by factors such as limited bandwidth and communication without a high degree of reliability. Based on this premise, this paper proposes a system for monitoring Smart Campus applications based on IoT protocols. This system will have as main objectives to support the deployment of new sensors and actuators and to monitor the performance of applications. The network archi tecture considered in this paper provides reliability through the use of diversity techniques at physical and data link layers and it performs the persistence of information based on time series. Through this system, information on the currently running applications and on the quality of the data links and the wireless network’s overload level can be collected, in order to help planning for the network infrastructure evolution and the incorporation of new devices and applications. To validate the proposed architecture, an experiment was performed and a IEEE 802.15.4g network was deployed in an University Campus. |
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