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Multivariate Interpolation at the Edge to Infer Faulty IoT Sensor Metrics

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Konzen, Marcos Paulo ; Ramires Izolan, Patric Lincoln ; Griesang, Fabio Junior ; De Souza, Paulo Silas ; Ferreto, Tiago Coelho ; Lorenzon, Arthur Francisco ; Luizelli, Marcelo Caggiani ; Balzano De Mattos, Julio Carlos ; Da Rosa, Cinara Ewerling ; Rossi, Fabio Diniz ; VanSteen, M ; Ferguson, D ; Pahl, C
Número total de Autores: 13
Tipo de documento: Artigo Científico
Fonte: PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE (CLOSER); v. N/A, p. 8-pg., 2022-01-01.
Resumo

Virtual sensors are software entities that allow the estimation, through models, of critical variables in a given environment. Metrics can be modeled computationally to estimate the values measured by a sensor without installing it physically in the specified location. The monitoring and control of its variables by the edge are of great importance, as they are directly related to increased productivity. This article presents the idea behind virtual sensors, discusses some challenges and trends, presents such sensors' modeling for estimating values, and gives results based on a Smart Farming case study. The results show that the virtual sensors' estimated values are very close to reality, which shows that our method can be used with very high confidence. (AU)

Processo FAPESP: 18/23092-1 - Orquestração da telemetria em planos de dados programáveis
Beneficiário:Marcelo Caggiani Luizelli
Modalidade de apoio: Auxílio à Pesquisa - Regular
Processo FAPESP: 20/05183-0 - SkyNet: rumo à era dos planos de dados inteligentes
Beneficiário:Luciano Paschoal Gaspary
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 20/05115-4 - Orquestração de pacotes exploratórios para telemetria de redes In-Band
Beneficiário:Fábio Diniz Rossi
Modalidade de apoio: Auxílio à Pesquisa - Regular