Authors:
Javier Echanobe
;
Estibaliz Asua
and
Inés del Campo
Affiliation:
University of the Basque Country, Spain
Keyword(s):
Wireless Sensor Network, FPGA, Intelligent Environments, Neurofuzzy Systems.
Related
Ontology
Subjects/Areas/Topics:
Applications and Uses
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Data Manipulation
;
Environment Monitoring
;
Hardware
;
Hardware Design, Fabrication Techniques
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Methodologies and Methods
;
Multi-Sensor Data Processing
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Reasoning on Sensor Data
;
Sensor Networks
;
Signal Processing
;
Smart Buildings and Smart Cities
;
Soft Computing
;
Theory and Methods
Abstract:
Wireless Sensor and Actuator Networks together with processing elements named intelligent agents are achieving great importance in environmental control. The trend in this field points to implement small, low power, low cost and fast systems, which is in general, hard to achieve. In this paper, an electronic system that consists of several sensors and actuators and a FPGA endowed with Neurofuzzy based intelligent algorithms is presented. The purpose of this work is to demonstrate the effectiveness of the FPGA to provide intelligence to a Wireless Sensor and Actuator Networks. As example of application, a system which acts over a floor lamp intensity and an opening of a window in an autonomous way is presented. This autonomous action is calculated by the FPGA based on several parameters provided by the network (temperature, humidity and luminosity). By integrating the low power WSAN and the FPGA-based Intelligent Agent, a small, low power, low cost high-performance intelligent environ
ment system is achieved.
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