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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

ResiDI: Towards a smarter smart home system for decision-making using wireless sensors and actuators

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Autor(es):
Filho, Geraldo P. R. [1] ; Villas, Leandro A. [2] ; Freitas, Heitor [1] ; Valejo, Alan [1] ; Guidoni, Daniel L. [3] ; Ueyama, Jo [1]
Número total de Autores: 6
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Inst Math & Comp Sci, Sao Carlos, SP - Brazil
[2] Univ Estadual Campinas, Inst Comp, Campinas, SP - Brazil
[3] Univ Fed Sao Joao del Rei, Sao Joao Del Rei, MG - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: Computer Networks; v. 135, p. 54-69, APR 22 2018.
Citações Web of Science: 5
Resumo

This article proposes ResiDI, an intelligent decision-making system for a residential distributed automation infrastructure based on wireless sensors and actuators. ResiDI transmits events using wireless technologies embedded in WSANs to reduce the wire load capacity of traditional systems. In addition, the nodes are equipped with batteries, as a backup system. These features allow the ResiDI to be installed anywhere in the house, without the need for drilling or changing any other pre-existing infrastructure. Furthermore, the roles and intelligence of ResiDI are distributed among the network nodes. Besides increasing precision in decision-making through a neural network, the ResiDI seeks to reduce node energy consumption by means of a temporal correlation mechanism. As proof of concept, a prototype was developed to integrate with ResiDI in order to demonstrate its viability. When compared with an approach in the literature, real and simulated results show that ResiDI makes three key contributions: (i) 22.03% increase in decision-making; (ii) 44.35% reduction in node energy consumption in a homogeneous way; and (iii) 95.24% efficiency in information transmission. Finally, ResiDI provides a gain in response time of 30.21%, so that the decision-making process is performed faster. (C) 2018 Elsevier B.V. All rights reserved. (AU)

Processo FAPESP: 15/21642-6 - Provendo uma maior inteligência em IoTs: abordagens e aplicações em sensores, VANTs e smartphones
Beneficiário:Jó Ueyama
Linha de fomento: Auxílio à Pesquisa - Regular
Processo FAPESP: 14/06330-5 - Uma abordagem de decisão inteligente para uma infraestrutura de automação residencial distribuída usando redes de sensores e atuadores sem fio
Beneficiário:Geraldo Pereira Rocha Filho
Linha de fomento: Bolsas no Brasil - Doutorado