Publicação
A study on energy efficiency of an internet of things sensor node
| Resumo: | The number of Internet of Things (IoT) devices is growing rapidly. It is estimated that by 2025 there will be more than 50 billion connected devices connected to a network. Most of these devices are wireless, therefore, there is a need to use battery in order for the system to work. Since the number of devices is scaling and most use battery, charging and replacing batteries poses a challenge for IoT applications. This work aims to study the energy efficiency in an IoT sensor node operating in a remote manner and propose an intelligent mechanism to optimize the energy consumption. In order to achieve this goal two steps were performed. The first was related to building a sensor node and study its power consumption considering different parameters. The second part was related to developing an intelligent control, based on Fuzzy Logic, to make the node more intelligent and manage its battery autonomously. The resulting BMS will give the sensor IoT node the ability of controlling how it will operate based on the battery and environmental data. A higher battery lifetime will make the IoT device more reliable and reduce costs with maintenance. |
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| Autores principais: | Luz, Guilherme Ferreira da |
| Assunto: | Internet of things Energy efficiency Battery management system |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| Resumo: | The number of Internet of Things (IoT) devices is growing rapidly. It is estimated that by 2025 there will be more than 50 billion connected devices connected to a network. Most of these devices are wireless, therefore, there is a need to use battery in order for the system to work. Since the number of devices is scaling and most use battery, charging and replacing batteries poses a challenge for IoT applications. This work aims to study the energy efficiency in an IoT sensor node operating in a remote manner and propose an intelligent mechanism to optimize the energy consumption. In order to achieve this goal two steps were performed. The first was related to building a sensor node and study its power consumption considering different parameters. The second part was related to developing an intelligent control, based on Fuzzy Logic, to make the node more intelligent and manage its battery autonomously. The resulting BMS will give the sensor IoT node the ability of controlling how it will operate based on the battery and environmental data. A higher battery lifetime will make the IoT device more reliable and reduce costs with maintenance. |
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