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Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118, Band 118) - Abdelgawad, Ahmed, Bayoumi, Magdy
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Abdelgawad, Ahmed, Bayoumi, Magdy:

Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118, Band 118) - encadernado, livro de bolso

2012, ISBN: 9781461413493

Springer, Gebundene Ausgabe, Auflage: 2012, 124 Seiten, Publiziert: 2012-02-15T00:00:01Z, Produktgruppe: Buch, 1 kg, Informatik, IT-Ausbildung & -Berufe, Computer & Internet, Kategorien, … mais…

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Ahmed Abdelgawad, Magdy Bayoumi:

Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118) - encadernado, livro de bolso

2012, ISBN: 1461413494

[EAN: 9781461413493], Gebraucht, sehr guter Zustand, [PU: Springer], Light rubbing wear to cover, spine and page edges. Very minimal writing or notations in margins not affecting the text… mais…

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Ahmed Abdelgawad, Magdy Bayoumi:
Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118) - encadernado, livro de bolso

2012

ISBN: 1461413494

[EAN: 9781461413493], Gebraucht, sehr guter Zustand, [PU: Springer], Light rubbing wear to cover, spine and page edges. Very minimal writing or notations in margins not affecting the text… mais…

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Abdelgawad, Ahmed und Magdy Bayoumi:
Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks - encadernado, livro de bolso

2012, ISBN: 1461413494

[EAN: 9781461413493], Gebraucht, guter Zustand, [PU: Springer US], MULTISENSOR DATA FUSION,WIRELESS SENSOR NETWORKS,EMBEDDED SYSTEMS,DATA FUSION,REMOTE MEASURING,, Buchschnitt verkürzt - … mais…

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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 - encadernado, livro de bolso

2012, ISBN: 1461413494

Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks ab 138.99 € als gebundene Ausgabe: Auflage 2012. Aus dem Bereich: Bücher, Wissenschaft, Technik, Medien > Bücher, Spring… mais…

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Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118, Band 118)
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9781461413493


 

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.

Dados detalhados do livro - Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118, Band 118)


EAN (ISBN-13): 9781461413493
ISBN (ISBN-10): 1461413494
Livro de capa dura
Ano de publicação: 20120218
Editor/Editora: Springer
124 Páginas
Peso: 0,356 kg
Língua: Englisch

Livro na base de dados desde 2012-06-15T13:57:34+01:00 (Lisbon)
Página de detalhes modificada pela última vez em 2024-03-12T02:48:32+00:00 (Lisbon)
Número ISBN/EAN: 9781461413493

Número ISBN - Ortografia alternativa:
1-4614-1349-4, 978-1-4614-1349-3
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: bayo
Título do livro: wireless sensor networks, algorithms, fusion

Dados da editora

Autor: Ahmed Abdelgawad; Magdy Bayoumi
Título: Lecture Notes in Electrical Engineering; Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
Editora: Springer; Springer US
108 Páginas
Ano de publicação: 2012-02-15
New York; NY; US
Impresso / Feito em
Língua: Inglês
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XVI, 108 p.

BB; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Schaltkreise und Komponenten (Bauteile); Verstehen; Data Fusion; Embedded Systems; Multisensor data fusion; Remote measuring; Wireless Sensor Networks; Electronic Circuits and Systems; Signal, Speech and Image Processing; Algorithms; 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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