ArticleSensors (Basel, Switzerland)2022
Smart and Portable Air-Quality Monitoring IoT Low-Cost Devices in Ibarra City, Ecuador.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Innovations in Air Quality Monitoring: Sensors, IoT and Future Research.Sensors (Basel, Switzerland) · 2025Review
- Implementation and Experimental Application of Industrial IoT Architecture Using Automation and IoT Hardware/Software.Sensors (Basel, Switzerland) · 2024Article
- Prototype of Monitoring Transportation Pollution Spikes through the Internet of Things Edge Networks.Sensors (Basel, Switzerland) · 2023Article
- A Brief Review on Flexible Electronics for IoT: Solutions for Sustainability and New Perspectives for Designers.Sensors (Basel, Switzerland) · 2023Review
- Agile Methodologies Applied to the Development of Internet of Things (IoT)-Based Systems: A Review.Sensors (Basel, Switzerland) · 2023Review
- Anomaly Detection and Repairing for Improving Air Quality Monitoring.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Nowadays, increasing air-pollution levels are a public health concern that affects all living beings, with the most polluting gases being present in urban environments. For this reason, this research presents portable Internet of Things (IoT) environmental monitoring devices that can be installed in vehicles and that send message queuing telemetry transport (MQTT) messages to a server, with a time series database allocated in edge computing. The visualization stage is performed in cloud computing to determine the city air-pollution concentration using three different labels: low, normal, and high. To determine the environmental conditions in Ibarra, Ecuador, a data analysis scheme is used with outlier detection and supervised classification stages. In terms of relevant results, the performance percentage of the IoT nodes used to infer air quality was greater than 90%. In addition, the memory consumption was 14 Kbytes in a flash and 3 Kbytes in a RAM, reducing the power consumption and bandwidth needed in traditional air-pollution measuring stations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.