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Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks - Ken M. Harrison
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Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks - libro nuevo

ISBN: 9781461413509

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 i… Más…

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Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks - Ahmed Abdelgawad#Magdy Bayoumi
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Ahmed Abdelgawad#Magdy Bayoumi:

Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks - libro nuevo

2012, ISBN: 9781461413509

  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 c… Más…

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Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks - Ahmed Abdelgawad, Magdy Bayoumi
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Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks - libro nuevo

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ISBN: 9781461413509

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 … Más…

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Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks - Ahmed Abdelgawad, Magdy Bayoumi
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Ahmed Abdelgawad, Magdy Bayoumi:
Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks - libro nuevo

ISBN: 9781461413509

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 … Más…

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Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks - Ahmed Abdelgawad/ Magdy Bayoumi
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Ahmed Abdelgawad/ Magdy Bayoumi:
Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks - libro nuevo

ISBN: 9781461413509

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Detalles del libro

Detalles del libro - Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks


EAN (ISBN-13): 9781461413509
ISBN (ISBN-10): 1461413508
Año de publicación: 2012
Editorial: Springer New York
140 Páginas
Idioma: eng/Englisch

Libro en la base de datos desde 2012-12-26T12:47:37-06:00 (Mexico City)
Página de detalles modificada por última vez el 2022-06-09T10:17:05-05:00 (Mexico City)
ISBN/EAN: 1461413508

ISBN - escritura alterna:
1-4614-1350-8, 978-1-4614-1350-9
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: bayo
Título del libro: wireless sensor networks, fusion, algorithms


Datos del la editorial

Autor: Ahmed Abdelgawad; Magdy Bayoumi
Título: Lecture Notes in Electrical Engineering; Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
Editorial: Springer; Springer US
108 Páginas
Año de publicación: 2012-02-15
New York; NY; US
Idioma: Inglés
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XVI, 108 p.

EA; E107; eBook; Nonbooks, PBS / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Schaltkreise und Komponenten (Bauteile); Verstehen; Data Fusion; Embedded Systems; Multisensor data fusion; Remote measuring; Wireless Sensor Networks; B; Electronic Circuits and Systems; Signal, Speech and Image Processing; Algorithms; Engineering; Elektronik; Digitale Signalverarbeitung (DSP); Algorithmen und Datenstrukturen; BC

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.
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 Includes supplementary material: sn.pub/extras

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