Authors:
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 118)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
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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.
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- 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;Â
- Includes case study implementing data fusion algorithms on a remote monitoring framework for sand production in oil pipelines.
Authors and Affiliations
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, Design Aids & Automation Eng. Profession, IBM, Essex Junction, USA
Ahmed Abdelgawad
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University of Louisiana at Lafayette, Lafayette, USA
Magdy Bayoumi
Bibliographic Information
Book Title: Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
Authors: Ahmed Abdelgawad, Magdy Bayoumi
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-1-4614-1350-9
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media, LLC 2012
Hardcover ISBN: 978-1-4614-1349-3Published: 15 February 2012
Softcover ISBN: 978-1-4899-8706-8Published: 13 April 2014
eBook ISBN: 978-1-4614-1350-9Published: 15 February 2012
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XVI, 108
Topics: Circuits and Systems, Signal, Image and Speech Processing, Algorithms