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The topic of outlier detection in sensor networks has received significant attention in recent years. Detecting when the measurements of a node become ``abnormal'' is interesting, because this event may help detect either a malfunctioning node, or a node that starts observing a local interesting phenomenon (i.e., a fire). In this paper we present a new algorithm for detecting outliers in sensor networks,...