Data Quality and Failures Characterization of Sensing Data in Environmental Applications

Environmental monitoring is one of the most important sensor network application domains. The success of those applications is determined by the quality of the collected data. Thus, it is crucial to carefully analyze the collected sensing data, which not only helps us understand the features of monitored field, but also unveil any limitations and opportunities that should be considered in future sensor system design. In this paper, we take an initial step and analyze one-month sensing data collected from a real-world water system surveillance application, focusing on the data similarity, data abnormality and failure patterns. Our major findings include: (1) Information similarity, including pattern similarity and numerical similarity, is very common, which provides a good opportunity to trade off energy efficiency and data quality; (2) Spatial and multi-modality correlation analysis provide a way to evaluate data integrity and to detect conflicting data that usually indicates appe...

• Type: Conference
• Year: 2008
• Where: COLCOM
• Authors: Kewei Sha, Guoxing Zhan, Safwan Al-Omari, Tim Calappi, Weisong Shi, Carol Miller
• Keywords: Applied Computing, COLCOM 2008, Data Similarity, One-month Sensing Data, Sensing Data