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.
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