This book introduces resource-aware data fusion algorithms that generate inferences by combining data from multiple sources—techniques useful in centralized and distributed systems to overcome sensor failure, technological limitations, and coverage problems.
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.