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Energy efficient wireless sensor network communications based on computational intelligent data fusion for environmental monitoring

 

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Author: Larios Marín, Diego Francisco
Barbancho Concejero, Julio
Rodríguez, G.
Sevillano Ramos, José Luis
Molina Cantero, Francisco Javier
León de Mora, Carlos
Department: Universidad de Sevilla. Departamento de Tecnología Electrónica
Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores
Date: 2012
Published in: IET Communications, 6 (14), 2189-2197.
Document type: Article
Abstract: The study presents a novel computational intelligence algorithm designed to optimise energy consumption in an environmental monitoring process: specifically, water level measurements in flooded areas. This algorithm aims to obtain a tradeoff between accuracy and power consumption. The implementation constitutes a data aggregation and fusion in itself. A harsh environment can make the direct measurement of flood levels a difficult task. This study proposes a flood level estimation, inferred through the measurement of other common environmental variables. The benefit of this algorithm is tested both with simulations and real experiments conducted in Donñana, a national park in southern Spain where flood level measurements have traditionally been done manually.
Cite: Larios Marín, D.F., Barbancho Concejero, J., Rodríguez, G., Sevillano Ramos, J.L., Molina Cantero, F.J. y León de Mora, C. (2012). Energy efficient wireless sensor network communications based on computational intelligent data fusion for environmental monitoring. IET Communications, 6 (14), 2189-2197.
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URI: https://hdl.handle.net/11441/77068

DOI: 10.1049/iet-com.2011.0809

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