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Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks de Ahmed Abdelgawad

Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks: Lecture Notes in Electrical Engineering, cartea 118

Autor Ahmed Abdelgawad, Magdy Bayoumi
en Limba Engleză Paperback – 13 apr 2014
 
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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Specificații

ISBN-13: 9781489987068
ISBN-10: 1489987061
Pagini: 124
Ilustrații: XVI, 108 p.
Dimensiuni: 155 x 235 x 7 mm
Greutate: 0.19 kg
Ediția:2012
Editura: Springer
Colecția Springer
Seria Lecture Notes in Electrical Engineering

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

Introduction to wireless sensor networks.- Data fusion in wireless sensor networks.- Centralized data fusion algorithms.- Introduction to Kalman filters.- Proposed distributed Kalman filter.- Simulation and experimental results.

Textul de pe ultima copertă

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.

Caracteristici

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