Automatic Data Quality Control of Observations in Wireless Sensor Network

Abstract

Emerging multisource earth observation technologies represented by wireless sensor network (WSN) technology are widely used in land surface observation and simulation studies. Consequently, data quality control of massive observation data has brought challenges to researchers. This letter describes a comprehensive approach applied to automatic data quality control of WSN data. First, summarize the quality element of WSN observation data which can be achieved through automated methods by analyzing the characteristics of WSN observation data, and develop a decision algorithm for each quality element. Then, associate the data type and algorithm through data quality control rules. Finally, establish an automatic data quality control system based on data quality control rules. As a matter of fact, this system has run for one and a half years and processed more than 500 million observation data records without human intervention. Application results show that this method system can effectively control the data quality of WSN data automatically.