Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks

This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g., sensors) in order to achieve inferences.  These techniques can be used in centralized and distributed systems to overcome sensor failure, technological limitation, and spatial and tempo...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Abdelgawad, Ahmed (Autor), Bayoumi, Magdy (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Lecture Notes in Electrical Engineering, 118
Temas:
Electronic circuits.
Signal processing.
Algorithms.
Electronic Circuits and Systems.
Signal, Speech and Image Processing .
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks  |h [electronic resource] /  |c by Ahmed Abdelgawad, Magdy Bayoumi. 
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300 |a XVI, 108 p.  |b online resource. 
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490 1 |a Lecture Notes in Electrical Engineering,  |x 1876-1119 ;  |v 118 
505 0 |a Introduction to wireless sensor networks -- Data fusion in wireless sensor networks -- Centralized data fusion algorithms -- Introduction to Kalman filters -- Proposed distributed Kalman filter -- Simulation and experimental results. 
520 |a This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g., sensors) in order to achieve inferences.  These techniques can be used in centralized and distributed systems to overcome sensor failure, technological limitation, and spatial and temporal coverage problems. The algorithms described in this book are evaluated with simulation and experimental results to show they will maintain data integrity and make data useful and informative.   Describes techniques to overcome real problems posed by wireless sensor networks deployed in circumstances that might interfere with measurements provided, such as strong variations of pressure, temperature, radiation, and electromagnetic noise; Uses simulation and experimental results to evaluate algorithms presented and includes real test-bed; Includes case study implementing data fusion algorithms on a remote monitoring framework for sand production in oil pipelines. 
650 0 |a Electronic circuits. 
650 0 |a Signal processing. 
650 0 |a Algorithms. 
650 1 4 |a Electronic Circuits and Systems. 
650 2 4 |a Signal, Speech and Image Processing . 
650 2 4 |a Algorithms. 
700 1 |a Bayoumi, Magdy.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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830 0 |a Lecture Notes in Electrical Engineering,  |x 1876-1119 ;  |v 118 
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950 |a Engineering (R0) (SpringerNature-43712) 

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