Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118)
Language: English
Published by Springer, 2014
- Softcover
- Used
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- Title
- Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks (Lecture Notes in Electrical Engineering, 118)
- Author
- Abdelgawad, Ahmed, Bayoumi, Magdy
- Publisher
- Springer
- Publication year
- 2014
- Condition
- Like New
- Book Type
- book
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1489987061
- ISBN 13
- 9781489987068
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
Mispah books
Redhill, Surrey, United Kingdom
AbeBooks seller since April 15, 2021
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