Title | ||
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An Energy-Aware System for Decision-Making in a Residential Infrastructure Using Wireless Sensors and Actuators |
Abstract | ||
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This work proposes an intelligent decision system for a residential infrastructure based on wireless sensors and actuator networks, called ResiDI. ResiDI is equipped with battery-powered nodes to ensure that they are deployable anywhere in the house without the need for wiring, drilling or any pre-existing infrastructure. The key intelligence of ResiDI is distributed in the decider nodes, which are able to make decisions locally without the need to send traffic from the sensor nodes to the sink. The network intelligence core is based on a neural network that seeks to improve the accuracy of the decision-making, together with a temporal correlation mechanism that is targeted at reducing the energy consumption. When compared with an approach adopted in the literature, the results show that ResiDI is efficient in different scenarios in all evaluations performed. |
Year | DOI | Venue |
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2015 | 10.1109/NCA.2015.30 | Neural Computing & Applications |
Keywords | Field | DocType |
Home Automation System, Domotic, Smart Home, Decision-Making, Infrastructure, Wireless, Sensor, Actuator, Energy Consumption, Energy Efficiency, Energy Management | Key distribution in wireless sensor networks,Wireless network,Wireless,Computer science,Intelligent sensor,Network intelligence,Computer network,Artificial neural network,Energy consumption,Wireless sensor network,Distributed computing | Conference |
Citations | PageRank | References |
4 | 0.45 | 15 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Geraldo P. R. Filho | 1 | 63 | 8.82 |
Jo Ueyama | 2 | 344 | 23.51 |
Bruno S. Faiçal | 3 | 49 | 6.27 |
Gustavo Pessin | 4 | 164 | 23.10 |
Claudio M. de Farias | 5 | 66 | 12.14 |
Richard W. Pazzi | 6 | 159 | 16.95 |
Daniel L. Guidoni | 7 | 205 | 23.49 |
Leandro A. Villas | 8 | 423 | 55.86 |