Fault Tolerant Data Aggregation Methods by Sridhar Prasanna (9 results)

Condition: New. pp. 172.

Taschenbuch. Condition: Neu. Fault-Tolerant Data Aggregation Methods in Sensor Networks | A Practical Approach to Data Acquisition, Processing, Decision Making and Leaning Methods in Wireless Sensor Network | Prasanna Sridhar (u. a.) | Taschenbuch | 172 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843366762 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 172 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sridhar PrasannaPrasanna 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 Presiden.

Condition: New. Print on Demand pp. 172 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condition: New. PRINT ON DEMAND pp. 172.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 172 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.