In this paper we introduce a dataset of environmental information obtained via indoor and outdoor sensors deployed in the SMART Infrastructure Facility of the University of Wollongong (Australia). The acquired dataset is also made open-sourced along with this paper. We also propose a novel approach based on an evolutionary algorithm to determine pairs of correlated sensors. We compare our approach with three other standard techniques on the same dataset: on average, the accuracy of the evolutionary method is about 62,92%. We also evaluate the computational time, assessing the suitability of the proposed pipeline for real-time applications.
|Titolo della pubblicazione ospite||Proceedings of the 13th International Conference on Agents and Artificial Intelligence ICAART 2021 - Volume 1|
|Numero di pagine||8|
|Stato di pubblicazione||Published - 2021|
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