Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
1st Edition
Published on 15. February 2012
XVI, 108 pages
978-1-4614-1350-9 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
New York
United States
Publishing group
Springer US
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XVI, 108 p.
File size
2,23 MB
ISBN-13
978-1-4614-1350-9 (9781461413509)
DOI
10.1007/978-1-4614-1350-9
Schweitzer Classification
Other editions
Additional editions
Ahmed Abdelgawad | Magdy Bayoumi
Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
Book
04/2014
Springer
€106.99
Shipment within 15-20 days
Ahmed Abdelgawad | Magdy Bayoumi
Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
Book
02/2012
Springer
€106.99
Shipment within 15-20 days
Content
Introduction to wireless sensor networks.- Data fusion in wireless sensor networks.- Centralized data fusion algorithms.- Introduction to Kalman filters.- Proposed distributed Kalman filter.- Simulation and experimental results.
