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[Lecture Notes in Electrical Engineering] Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks Volume 118 || Kalman Filter

✍ Scribed by Abdelgawad, Ahmed; Bayoumi, Magdy

Book ID
118140750
Publisher
Springer US
Year
2012
Tongue
English
Weight
312 KB
Edition
2012
Category
Article
ISBN
1461413508

No coin nor oath required. For personal study only.

✦ Synopsis

This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g., sensors) in order to achieve inferences.Β  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. Β  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;Β  Includes case study implementing data fusion algorithms on a remote monitoring framework for sand production in oil pipelines.

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