Title
Data Quality Management in Wireless Sensor Networks: A Consistency Model Based Approach,Used
Delivery time: 8-12 business days (International)
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 consistencydriven 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,consistencydriven crosslayer 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 applicationspecific 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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We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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