Um Sistema de Controle Neuro-Fog para Infraestruturas Residenciais via Objetos Inteligentes

  • Geraldo P. R. Filho
  • José R. Torres Neto
  • Alan Valejo
  • Rodolfo I. Meneguette
  • Leandro A. Villas
  • Jó Ueyama


In recent years, the use of the fog computing paradigm is increasingly present in studies and services offered by a smart city, as the intelligent home systems which are one of the services to be highlighted. However, such paradigm brings two major challenges within the context of intelligent homes: how to extract the data that will be used in the decision-making process efficiently, and how to enable interoperability among the devices. Thus, this work proposes ImPeRIum, an intelligent decision system which forms a fog computational environment to manage the applications of the residence. ImPeRIum was evaluated in both the simulated environment and the real environment. When compared with other works in literature, ImPeRIum showed an advance in the state of the art and It obtained three promising results: (i) high hit rate with a low delay in the decision-making process; (ii) efficient in the information dissemination with a low overhead in infrastructure; and (iii) robustness in processing with a low energy consumption.
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FILHO, Geraldo P. R.; NETO, José R. Torres; VALEJO, Alan; MENEGUETTE, Rodolfo I.; VILLAS, Leandro A.; UEYAMA, Jó. Um Sistema de Controle Neuro-Fog para Infraestruturas Residenciais via Objetos Inteligentes. In: ANAIS PRINCIPAIS DO SIMPÓSIO BRASILEIRO DE REDES DE COMPUTADORES E SISTEMAS DISTRIBUÍDOS (SBRC), 36. , 2018, Campos do Jordão. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2018 . ISSN 2177-9384.

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