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

EAN (ISBN-13): 9781461413493
ISBN (ISBN-10): 1461413494
Gebundene Ausgabe
Erscheinungsjahr: 20120218
Herausgeber: Springer
124 Seiten
Gewicht: 0,356 kg
Sprache: Englisch

Buch in der Datenbank seit 2012-06-15T14:57:34+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-03-12T03:48:32+01:00 (Berlin)
ISBN/EAN: 9781461413493

ISBN - alternative Schreibweisen:
1-4614-1349-4, 978-1-4614-1349-3
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: bayo
Titel des Buches: wireless sensor networks, algorithms, fusion

---

Daten vom Verlag:

Autor/in: Ahmed Abdelgawad; Magdy Bayoumi
Titel: Lecture Notes in Electrical Engineering; Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
Verlag: Springer; Springer US
108 Seiten
Erscheinungsjahr: 2012-02-15
New York; NY; US
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
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