Evaluating correlations in IoT sensors for smart buildings
Publication Name
ICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence
Abstract
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.
Open Access Status
This publication is not available as open access
Volume
1
First Page
224
Last Page
231