Artículos relacionados a Data Quality Management in Wireless Sensor Networks:...

Data Quality Management in Wireless Sensor Networks: A Consistency Model Based Approach - Tapa blanda

Sha, Kewei

 
9783639177930: Data Quality Management in Wireless Sensor Networks: A Consistency Model Based Approach
Tapa blanda
ISBN 10: 3639177932 ISBN 13: 9783639177930
Editorial: VDM Verlag Dr. Müller, 2010

Sinopsis

With more and more real deployments of wireless sensor network applications, their success is nonetheless determined by whether the sensor networks can provide a high quality stream of data over a long period. In this book, a consistency-driven data quality management framework called Orchis is proposed. It integrates the quality of data into an energy efficient sensor system design.Orchis consists of four components, data consistency models, adaptive data sampling and process protocols,consistency-driven cross-layer protocols and flexible APIs to manage the data quality, to support the goals of high data quality and energy efficiency. Firstly, a consistency model is formally defined, which not only includes temporal consistency and numerical consistency, but also considers the application-specific requirements of data and data dynamics in the sensing field. Next, an adaptive lazy energy efficient data collection protocol is proposed, which adapts the data sampling rate to the data dynamics in the sensing field and keeps lazy when the data consistency is maintained. Finally, some system protocols are designed to provide system support.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

With more and more real deployments of wireless sensor network applications, their success is nonetheless determined by whether the sensor networks can provide a high quality stream of data over a long period. In this book, a consistency-driven data quality management framework called Orchis is proposed. It integrates the quality of data into an energy efficient sensor system design.Orchis consists of four components, data consistency models, adaptive data sampling and process protocols,consistency-driven cross-layer protocols and flexible APIs to manage the data quality, to support the goals of high data quality and energy efficiency. Firstly, a consistency model is formally defined, which not only includes temporal consistency and numerical consistency, but also considers the application-specific requirements of data and data dynamics in the sensing field. Next, an adaptive lazy energy efficient data collection protocol is proposed, which adapts the data sampling rate to the data dynamics in the sensing field and keeps lazy when the data consistency is maintained. Finally, some system protocols are designed to provide system support.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
VDM Verlag Dr. Müller
Año de publicación
2010
Idioma
Inglés
ISBN 10 
3639177932
ISBN 13 
9783639177930
Encuadernación
Tapa blanda
Número de páginas
204
Contacto del fabricante
no disponible
Persona responsable
no disponible