Artículo
Energy efficient wireless sensor network communications based on computational intelligent data fusion for environmental monitoring
Autor/es | Larios Marín, Diego Francisco
Barbancho Concejero, Julio Rodríguez Rodríguez, Gustavo Antonio Sevillano Ramos, José Luis Molina Cantero, Francisco Javier León de Mora, Carlos |
Departamento | Universidad de Sevilla. Departamento de Tecnología Electrónica Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores |
Fecha de publicación | 2012 |
Fecha de depósito | 2018-07-10 |
Publicado en |
|
Resumen | 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 ... 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. |
Agencias financiadoras | Junta de Andalucía |
Identificador del proyecto | P07-TIC-02476 |
Cita | 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. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
Energy efficient wireless.pdf | 496.8Kb | [PDF] | Ver/ | |