Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118, Band 118) - copertina rigida, flessible
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, … Altro …
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Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118) - copertina rigida, flessible
2012, ISBN: 1461413494
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Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118) - copertina rigida, flessible
2012, ISBN: 1461413494
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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 - … Altro …
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2012, ISBN: 1461413494
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Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118, Band 118) - copertina rigida, flessible
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, … Altro …
Ahmed Abdelgawad, Magdy Bayoumi:
Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118) - copertina rigida, flessible2012, 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… Altro …
Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118) - copertina rigida, flessible
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… Altro …
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 - … Altro …
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… Altro …
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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.
Informazioni dettagliate del libro - 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
Copertina rigida
Anno di pubblicazione: 20120218
Editore: Springer
124 Pagine
Peso: 0,356 kg
Lingua: Englisch
Libro nella banca dati dal 2012-06-15T14:57:34+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2024-03-12T03:48:32+01:00 (Zurich)
ISBN/EAN: 9781461413493
ISBN - Stili di scrittura alternativi:
1-4614-1349-4, 978-1-4614-1349-3
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : bayo
Titolo del libro: wireless sensor networks, algorithms, fusion
Dati dell'editore
Autore: Ahmed Abdelgawad; Magdy Bayoumi
Titolo: Lecture Notes in Electrical Engineering; Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
Editore: Springer; Springer US
108 Pagine
Anno di pubblicazione: 2012-02-15
New York; NY; US
Stampato / Fatto in
Lingua: Inglese
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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