Cover Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks

Leseprobe

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Leseprobe

Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks

Name: Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
Author: Magdy Bayoumi, Ahmed Abdelgawad

Magdy Bayoumi, Ahmed Abdelgawad

PDF

ca. 96,29 €

Amazon 75,31 € iTunes Thalia.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
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Springer New York

Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik

Beschreibung

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.

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