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Title	Evaluation Of Low-Cost Air Quality Sensor Zphs01B As An Alternative For Deployment In Smart Cities
ID_Doc	24810
Authors	Meneses Albalá E.; Montalban Faet G.; Felici-Castell S.; Perez-Solano J.J.; Segura García J.; Roger Varea S.
Year	2025
Published	Proceedings of the 12th Euro-American Conference on Telematics and Information Systems, EATIS 2024
DOI	http://dx.doi.org/10.1145/3685243.3685282
Abstract	In this paper, the performance of Low-Cost Sensors (LCS) for Air Quality (AQ) monitoring is analyzed. These sensors are unstable, unreliable and cannot replace the official ones. They suffer from deviations, drifts and errors that make them invalid for direct use, but through Machine Learning (ML) techniques, they can increase their overall accuracy. These sensors can be used in smart cities, increasing the sampling density of the AQ monitoring network, which could enable the development of new applications for citizens to plan healthy routes. After a review of the different AQ LCS, we focused on the Winsen's ZPHS01B multisensor module because it embeds 11 different sensors in the same module. Since the information and the experimental data from field tests for this module is limited, we carry out different experiments and perform a thorough analysis, evaluating the sensor reading differences that could appear in a batch of them. We note that some of the integrated sensors are more reliable than others, but in practice they can improve their reading by using the ML models mentioned above, as they show correlation. Of all the modules tested, we observed that most of the sensors showed similar performance. However, a certain percentage of sensors in certain modules performed worse than their counterparts, which shows that at least 80% of the tested multi-sensor modules had similar levels of performance. © 2024 Owner/Author.
Author Keywords	air quality; IoT; low-cost sensors; pollution; smart cities; WSN

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