Fault-Tolerant Data Aggregation Methods in Sensor Networks: A Practical Approach to Data Acquisition, Processing, Decision Making and Leaning Methods in Wireless Sensor Network - Couverture souple

Sridhar, Prasanna; M. Madni, Asad

 
9783843366762: Fault-Tolerant Data Aggregation Methods in Sensor Networks: A Practical Approach to Data Acquisition, Processing, Decision Making and Leaning Methods in Wireless Sensor Network
Couverture souple
ISBN 10 : 3843366764 ISBN 13 : 9783843366762
Editeur : LAP LAMBERT Academic Publishing, 2010

Synopsis

The primary idea behind deploying sensor networks is to utilize the distributed sensing capability provided by tiny,low powered and low cost devices.Multiple sensing devices can be used cooperatively and collaboratively to capture events or monitor space more effectively than a single sensing device. Most of the applications envisioned with sensor networks demand highly reliable,accurate and fault-tolerant data acquisition process.The integrity of data alone can have tremendous effects on the performance of any data acquisition system.Due to the low manufacturing cost,the sensors lend themselves to be deployed in large numbers with a high spatial distribution.Such a large deployment scheme often generates enormous amount of data that needs to be efficiently summarized and delivered for analysis and processing. The primary aim of this book is to provide innovative solutions to serveral problem domain ? efficient data acquisition, large data processing, decision making and monitoring that all help in optimizing the performance of the given sensor network in real-world deployment scenarios.

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Présentation de l'éditeur

The primary idea behind deploying sensor networks is to utilize the distributed sensing capability provided by tiny,low powered and low cost devices.Multiple sensing devices can be used cooperatively and collaboratively to capture events or monitor space more effectively than a single sensing device. Most of the applications envisioned with sensor networks demand highly reliable,accurate and fault-tolerant data acquisition process.The integrity of data alone can have tremendous effects on the performance of any data acquisition system.Due to the low manufacturing cost,the sensors lend themselves to be deployed in large numbers with a high spatial distribution.Such a large deployment scheme often generates enormous amount of data that needs to be efficiently summarized and delivered for analysis and processing. The primary aim of this book is to provide innovative solutions to serveral problem domain ? efficient data acquisition, large data processing, decision making and monitoring that all help in optimizing the performance of the given sensor network in real-world deployment scenarios.

Biographie de l'auteur

Prasanna Sridhar, PhD is a Software Engineer with Microsoft since 2007. Previously he was with UTSA as Assistant Research Scientist. He is a member of IEEE and Sigma Xi/Asad M. Madni, PhD, DSc (H), CEng. was President & COO of BEI Technologies from 1992 until retirement in 2006.He is a Fellow of IEEE, IEE, IET, AAAS, NYAS, SAE, IAE & AIAA (A).

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3843366764
ISBN 13 
9783843366762
Reliure
Broché
Nombre de pages
172
Coordonnées du fabricant
non disponible
Personne responsable
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