Abstract
The IoT (Internet of Things) has emerged to increase the potentiality of pervasive monitoring devices. However, the implementation and integration of IoT devices, data storage and the development of applications are still considered challenging. This paper presents an infrastructure for aggregating and storing data from different sources from IoT devices to the cloud. In order to evaluate the infrastructure regarding the quality in storage, it has been implemented and verified in an AAL (Ambient Assisted Living) case scenario, the main application being Human Biometeorology. The evaluation of metrics related to sending, receiving and storing data demonstrate that the experimental environment is completely reliable and appropriate for the case study in question.
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Vanelli, B., Pinto, A. R., da Silva, M. P., Dantas, M. A. R., Fazio, M., Celesti, A., & Villari, M. (2018). IoT data storage in the cloud: A case study in human biometeorology. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 189, pp. 253–262). Springer Verlag. https://doi.org/10.1007/978-3-319-67636-4_26
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