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Motivated by many applications, top-k query is a fundamental operation in modern database systems. Technological advances have enabled the deployment of large-scale sensor networks for environmental monitoring and surveillance purposes, efficient processing of top-k query in such networks poses great challenges due to the unique characteristics of sensors and a vast amount of data generated by sensor networks. In this paper, the authors first introduce the concept of time interval top-k query that is to return k highest sensed values from the sensory data generated within a specified time interval.
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