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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 them understand the features of monitored field, but also unveil any limitations and opportunities that should be considered in future sensor system design. This paper takes an initial step and analyzes one-month sensing data collected from a real-world water system surveillance application, focusing on the data similarity, data abnormality and failure patterns.
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