Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks

Ahmed Abdelgawad

ISBN 10: 1489987061 / ISBN 13: 9781489987068

Editore: Springer-Verlag New York Inc., 2014

This item is printed on demand. New copy - Usually dispatched within 5-9 working days 231. Codice articolo C9781489987068

Riassunto:

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.

Dalla quarta di copertina:

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.

Dati bibliografici

Titolo: Resource-Aware Data Fusion Algorithms for ...
Casa editrice: Springer-Verlag New York Inc.
Data di pubblicazione: 2014
Legatura: Paperback / softback
Condizione: New