IoT-based Approaches for Monitoring the Particulate Matter and its Impact on Health

DIVÁN, MARIO JOSÉ; SÁNCHEZ REYNOSO, MARÍA LAURA; PANEBIANCO, JUAN ESTEBAN; MENDEZ, MARIANO JAVIER

IEEE Internet of Things Journal

Institute of Electrical and Electronics Engineers Inc.

Año: 2021

The particulate matter (PM) is associatedwith all particles (solid and liquid) suspended in the air. Dependingon the kind and size of the particle, each one represents differentkinds of risks for human health. The emerging of tiny, available,and accessible devices related to Internet-of-Things (IoT) hasallowed the implementation of different monitoring strategies.Objective: To identify and characterize the IoT-based Real-timemonitoring strategies which have implemented a measurementprocess to study the effect of the PM on human health.Methodology: A wide analysis based on the Systematic MappingStudy (SMS) was performed on September 4 of 2020. The ACM,IEEE, ScienceDirect, SpringerLink, Scopus, and Wiley databaseswere considered in the exploring. Results: 48 articles addressingthe IoT-based PM measurement were obtained, falling thembetween 2010 and 2020 with growing up interest. The main use ofthis technology is related to increase the coverage and density ofenvironmental monitoring stations due to the impact of PM onpeople?s health. Also, approaches to monitoring air quality andtheir potential effects on people?s affections are described.Conclusions: Collaborative, People-aware, Global proposals tendto get increasing interest. Only 6 (12.5%) articles incorporatedsome recommendation schema based on PM measures. Theaccuracy and precision are the main concern around low-costsensors for measuring PM. For that reason, the calibration processis highlighted in 64.44% of articles. The main challenges reside ina combination of uncertainties in PM measurement, healthimpacts, data quality, and the influence of environmentalvariables on all of them.