Resource-aware data fusion algorithms for wireless sensor networks

✍ Scribed by Ahmed Abdelgawad, Magdy Bayoumi (auth.)

• Publisher: Springer-Verlag New York
• Year: 2012
• Tongue: English
• Leaves: 119
• Series: Lecture Notes in Electrical Engineering 118
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xvi
Introduction....Pages 1-15
Data Fusion in WSN....Pages 17-35
Proposed Centralized Data Fusion Algorithms....Pages 37-57
Kalman Filter....Pages 59-76
Proposed Distributed Kalman Filter....Pages 77-90
Proposed Multiplication Algorithm for DKF....Pages 91-99
Experimental Results for the Proposed DKF....Pages 101-104
Back Matter....Pages 105-107

✦ Subjects

Circuits and Systems; Signal, Image and Speech Processing; Algorithms