Arquitetura Distribuída de Multisensoriamento com ESP32 e MQTT para Monitoramento Inteligente de Data Centers
Resumo
Uma arquitetura distribuída de multissensoriamento é proposta para monitoramento de data centers, utilizando nós autônomos baseados em ESP32 e comunicação via MQTT com um broker remoto. Os sensores monitoram variáveis ambientais com transmissão hierárquica e tolerância a falhas por meio de buffers locais. A configuração é realizada via Bluetooth, e os dados são integrados a um backend composto por banco de dados temporais e dashboards interativos. A solução oferece notificações inteligentes, sendo projetada com foco em escalabilidade e modularidade. Testes iniciais simulados validam sua viabilidade técnica e indicam forte potencial para aplicações reais e incorporação futura de técnicas de aprendizado de máquina na calibração e detecção de anomalias. E funcionalidades, como a modularidade física dos sensores e a atualização remota de firmware (OTA).Referências
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Bisignano, D., Chiodi, A., Ferrari, R., and Flammini, F. (2022). Low-cost air quality monitoring and calibration using machine learning: A survey. Sensors, 22(13):5040.
Cherradi, B., El Bouziri, A., and Boulmakoul, A. (2016). Smart data collection based on iot protocols. Procedia Computer Science, 83:1204–1210.
Corak, J., Mihaljevic, B., and Stojanovic, M. (2018). Comparative analysis of iot communication protocols. In 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pages 582–586. IEEE.
Grover, J. and Garimella, S. (2018). Reliable and fault-tolerant iot-edge architecture. In 2018 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pages 1733–1738. IEEE.
Grzesik, B. and Mrozek, D. (2020). Comparative analysis of time series databases in the context of edge computing for low power sensor networks. In ICCS 2020, volume 12139 of Lecture Notes in Computer Science, pages 574–588. Springer.
Hasan, H. M. and Alhusainy, B. K. (2018). Evaluation of mqtt protocol for iot based industrial automation. International Journal of Engineering and Technology, 7(4.19):106–109.
ISO/IEC (2013). ISO/IEC 27031:2013 – Information technology – Security techniques – Guidelines for ICT readiness for business continuity. Publicada pela ABNT como NBR ISO/IEC 27031.
Mehrotra, A. and Musolesi, M. (2017). Intelligent notification systems: A survey of the state of the art and research challenges. arXiv preprint arXiv:1711.10171.
Rahman, M. M., Islam, M. A., and Kwak, K. S. (2020). Secure over-the-air firmware updates for internet of things devices: A survey. Journal of Network and Computer Applications, 102:102702.
Russell, L., Zito, R., and Williamson, L. (2022). Calibration of low-cost gas sensors using artificial neural networks. Atmosphere, 13(3):478.
Seoane, S. P., Hernández-Ramos, J. L., Jara, A. J., and Skarmeta, A. F. (2021). Performance evaluation of coap and mqtt with security support for iot environments. Computer Networks, 197:108278.
TIA (2005). ANSI/TIA-942: Telecommunications Infrastructure Standard for Data Centers. Disponível em: [link].
Vieira, L., Souza, T., and Queiroz, G. (2024). Análise de desempenho e eficiência energética dos protocolos mqtt e coap no contexto de iot. In Anais do XXXVIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC 2024). SBC.
Bisignano, D., Chiodi, A., Ferrari, R., and Flammini, F. (2022). Low-cost air quality monitoring and calibration using machine learning: A survey. Sensors, 22(13):5040.
Cherradi, B., El Bouziri, A., and Boulmakoul, A. (2016). Smart data collection based on iot protocols. Procedia Computer Science, 83:1204–1210.
Corak, J., Mihaljevic, B., and Stojanovic, M. (2018). Comparative analysis of iot communication protocols. In 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pages 582–586. IEEE.
Grover, J. and Garimella, S. (2018). Reliable and fault-tolerant iot-edge architecture. In 2018 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pages 1733–1738. IEEE.
Grzesik, B. and Mrozek, D. (2020). Comparative analysis of time series databases in the context of edge computing for low power sensor networks. In ICCS 2020, volume 12139 of Lecture Notes in Computer Science, pages 574–588. Springer.
Hasan, H. M. and Alhusainy, B. K. (2018). Evaluation of mqtt protocol for iot based industrial automation. International Journal of Engineering and Technology, 7(4.19):106–109.
ISO/IEC (2013). ISO/IEC 27031:2013 – Information technology – Security techniques – Guidelines for ICT readiness for business continuity. Publicada pela ABNT como NBR ISO/IEC 27031.
Mehrotra, A. and Musolesi, M. (2017). Intelligent notification systems: A survey of the state of the art and research challenges. arXiv preprint arXiv:1711.10171.
Rahman, M. M., Islam, M. A., and Kwak, K. S. (2020). Secure over-the-air firmware updates for internet of things devices: A survey. Journal of Network and Computer Applications, 102:102702.
Russell, L., Zito, R., and Williamson, L. (2022). Calibration of low-cost gas sensors using artificial neural networks. Atmosphere, 13(3):478.
Seoane, S. P., Hernández-Ramos, J. L., Jara, A. J., and Skarmeta, A. F. (2021). Performance evaluation of coap and mqtt with security support for iot environments. Computer Networks, 197:108278.
TIA (2005). ANSI/TIA-942: Telecommunications Infrastructure Standard for Data Centers. Disponível em: [link].
Vieira, L., Souza, T., and Queiroz, G. (2024). Análise de desempenho e eficiência energética dos protocolos mqtt e coap no contexto de iot. In Anais do XXXVIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC 2024). SBC.
Publicado
20/07/2025
Como Citar
RAMOS, Danilo Silva; MORALES, Analucia Schiaffino; SENE JUNIOR, Iwens Gervasio.
Arquitetura Distribuída de Multisensoriamento com ESP32 e MQTT para Monitoramento Inteligente de Data Centers. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO UBÍQUA E PERVASIVA (SBCUP), 17. , 2025, Maceió/AL.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 121-130.
ISSN 2595-6183.
DOI: https://doi.org/10.5753/sbcup.2025.9195.
