Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks



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Éditeur :

Springer


Collection :

Lecture Notes in Electrical Engineering

Paru le : 2012-02-15



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Description

 
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.
Pages
108 pages
Collection
Lecture Notes in Electrical Engineering
Parution
2012-02-15
Marque
Springer
EAN papier
9781461413493
EAN EPUB
9781461413509

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
1413 Ko
Prix
94,94 €