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© 2012

Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks

Benefits

  • 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

Book

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 118)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Ahmed Abdelgawad, Magdy Bayoumi
    Pages 1-15
  3. Ahmed Abdelgawad, Magdy Bayoumi
    Pages 17-35
  4. Ahmed Abdelgawad, Magdy Bayoumi
    Pages 37-57
  5. Ahmed Abdelgawad, Magdy Bayoumi
    Pages 59-76
  6. Ahmed Abdelgawad, Magdy Bayoumi
    Pages 77-90
  7. Ahmed Abdelgawad, Magdy Bayoumi
    Pages 91-99
  8. Ahmed Abdelgawad, Magdy Bayoumi
    Pages 101-104
  9. Back Matter
    Pages 105-107

About this book

Introduction

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.

Keywords

Data Fusion Embedded Systems Multisensor data fusion Remote measuring Wireless Sensor Networks

Authors and affiliations

  1. 1., Design Aids & Automation Eng. ProfessionIBMEssex JunctionUSA
  2. 2.University of Louisiana at LafayetteLafayetteUSA

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
  • Copyright Information Springer Science+Business Media, LLC 2012
  • Publisher Name Springer, Boston, MA
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-1-4614-1349-3
  • Softcover ISBN 978-1-4899-8706-8
  • eBook ISBN 978-1-4614-1350-9
  • Series ISSN 1876-1100
  • Series E-ISSN 1876-1119
  • Edition Number 1
  • Number of Pages XVI, 108
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Circuits and Systems
    Signal, Image and Speech Processing
    Algorithms
  • Buy this book on publisher's site
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