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Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks

  • Ahmed Abdelgawad
  • Magdy Bayoumi

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

  • Ahmed Abdelgawad
    • 1
  • Magdy Bayoumi
    • 2
  1. 1., Design Aids & Automation Eng. ProfessionIBMEssex JunctionUSA
  2. 2.University of Louisiana at LafayetteLafayetteUSA

Bibliographic information

  • 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
  • Print ISBN 978-1-4614-1349-3
  • Online ISBN 978-1-4614-1350-9
  • Series Print ISSN 1876-1100
  • Series Online ISSN 1876-1119
  • Buy this book on publisher's site
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