Large-scale wireless sensor networks situation awareness using multivariate time series association rules mining

Situation awareness has lately become an important topic of wireless sensor networks research. In this paper, multivariate time series association rules mining method is applied to large-scale wireless sensor network data to comprehend situation. With this method, the patterns of sensor network behavior are able to be obtained. In order to verify the above proposal, experiments are conducted and, together with application of Intel Berkeley research lab data, show some positive results.