Uma Solução para Tomadas de Decis ões em um Ambiente Residencial baseado em fog computing e inteligência computacional

  • Geraldo P. R. Filho
  • José R. Torres Neto
  • Jó Ueyama

Resumo


The significant increase of the power consumption in the last years has attracted the attention of the researches, governments and organizations. The residential sector has contributed significantly to this increase. The Home Automation System, allied with the Internet of Things, is a promising solution to solve the problem of energy efficiency. In this context, it is possible to use Computational intelligence to helps carry out the decision-making process and fog computing paradigm on to manage and processing of the actions in the residence in real-time. Therefore, this work proposes a solution for collecting, disseminating and controlling through wireless sensors and actuators the decision-making in a residential environment, which is based on fog computing and computational intelligence. As proof of concept, a prototype was developed with the purpose to demonstrate the feasibility and efficiency of the proposed solution. The real results show that the proposed solution has a high hit rate with a low delay in the decision-making process, while maintaining an efficient dissemination of information with low energy consumption. Thus, the proposed system is feasible and applicable.
Publicado
19/05/2017
FILHO, Geraldo P. R.; NETO, José R. Torres; UEYAMA, Jó. Uma Solução para Tomadas de Decis ões em um Ambiente Residencial baseado em fog computing e inteligência computacional. In: WORKSHOP DE COMPUTAÇÃO URBANA (COURB), 1. , 2017, Belém. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2017 . ISSN 2595-2706.