Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks

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 tempo...

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Bibliographic Details
Main Authors: Abdelgawad, Ahmed (Author), Bayoumi, Magdy (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Boston, MA : Springer US, 2012.
Series:Lecture Notes in Electrical Engineering, 118
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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.