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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) - edition reliée, livre de poche

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, … Plus…

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Ahmed Abdelgawad, Magdy Bayoumi:

Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118) - edition reliée, livre de poche

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… Plus…

NOT NEW BOOK. Frais d'envoi EUR 8.20 Hippo Books, Hammond, IN, U.S.A. [50294793] [Rating: 4 (von 5)]
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Ahmed Abdelgawad, Magdy Bayoumi:
Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118) - edition reliée, livre de poche

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… Plus…

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Abdelgawad, Ahmed und Magdy Bayoumi:
Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks - edition reliée, livre de poche

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 - … Plus…

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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 - edition reliée, livre de poche

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… Plus…

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Détails sur le livre
Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118, Band 118)
Auteur:
Titre:
ISBN:

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.

Informations détaillées sur le livre - 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
Version reliée
Date de parution: 20120218
Editeur: Springer
124 Pages
Poids: 0,356 kg
Langue: Englisch

Livre dans la base de données depuis 2012-06-15T14:57:34+02:00 (Zurich)
Page de détail modifiée en dernier sur 2024-03-12T03:48:32+01:00 (Zurich)
ISBN/EAN: 9781461413493

ISBN - Autres types d'écriture:
1-4614-1349-4, 978-1-4614-1349-3
Autres types d'écriture et termes associés:
Auteur du livre: bayo
Titre du livre: wireless sensor networks, algorithms, fusion

Données de l'éditeur

Auteur: Ahmed Abdelgawad; Magdy Bayoumi
Titre: Lecture Notes in Electrical Engineering; Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
Editeur: Springer; Springer US
108 Pages
Date de parution: 2012-02-15
New York; NY; US
Imprimé / Fabriqué en
Langue: Anglais
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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