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

Abdelgawad, Ahmed; Bayoumi, Magdy

 
9781461413493: Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118, Band 118)
Hardcover
ISBN 10: 1461413494 ISBN 13: 9781461413493
Verlag: Springer, 2012

Inhaltsangabe

 

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2012
Sprache
Englisch
ISBN 10 
1461413494
ISBN 13 
9781461413493
Einband
Gebundene Ausgabe
Anzahl der Seiten
124
Kontakt zum Hersteller
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Darmstadt
64293
Deutschland

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