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

• Published in: Computer networks (Amsterdam, Netherlands : 1999) Vol. 135; pp. 54 - 69
• Main Authors: P. R. Filho, Geraldo, A. Villas, Leandro, Freitas, Heitor, Valejo, Alan, L. Guidoni, Daniel, Ueyama, Jó
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 22-04-2018; Elsevier Sequoia S.A
• Subjects: Actuator; Actuators; Computer simulation; Decision making; Domotic; Energy consumption; Energy efficiency; Energy management; Home Automation System; Infrastructure; Intelligent systems; Neural networks; Response time; Sensor; Sensors; Smart home; Smart houses; Viability; Wireless; Wireless networks; Decision-making; Wireless; Energy consumption; Domotic; Smart home; Infrastructure; Home Automation System; Energy efficiency; Energy management; Sensor; Actuator
• ISSN: 1389-1286; 1872-7069
• DOI: 10.1016/j.comnet.2018.02.009

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.