Target-based Association Rules for point-of-coverage wireless sensor networks

Recently, Knowledge Discovery Process has proven to be a promising tool for extracting behavioral patterns, regarding sensor nodes, from wireless sensor networks. In this paper, we propose a new type of behavioral patterns, which we refer to as Target-based Association Rules, to discover the correlation among a set of targets monitored by a network at a border region. Target-base Rules is an extension to a recently proposed behavioral patterns named Sensor Association Rules. The major application of Target-based Rules is to predict the source of future events. To report about the performance of our proposed knowledge technique, an extensive set of simulation experiments have been conducted to measure the performance of the network during the process of preparing the data needed for generating Target-based Rules.