The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Internet of Things Mobile–Air Pollution Monitoring System (IoT-Mobair)
Abstract
Internet of Things (IoT) is a worldwide system of “smart devices” that can sense and connect with their surroundings and interact with users and other systems. Global air pollution is one of the major concerns of our era. Existing monitoring systems have inferior precision, low sensitivity, and require laboratory analysis. Therefore, improved monitoring systems are needed. To overcome the problems of existing systems, we propose a three-phase air pollution monitoring system. An IoT kit was prepared using gas sensors, Arduino integrated development environment (IDE), and a Wi-Fi module. This kit can be physically placed in various cities to monitoring air pollution. The gas sensors gather data from air and forward the data to the Arduino IDE. The Arduino IDE transmits the data to the cloud via the Wi-Fi module. We also developed an Android application termed IoT-Mobair, so that users can access relevant air quality data from the cloud. If a user is traveling to a destination, the pollution level of the entire route is predicted, and a warning is displayed if the pollution level is too high. The proposed system is analogous to Google traffic or the navigation application of Google Maps. Furthermore, air quality data can be used to predict future air quality index (AQI) levels.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cohen, A. J., Brauer, M., Burnett, R., Anderson, H. R., Frostad, J., Estep, K., Balakrishnan, K., Brunekreef, B., Dandona, L., Dandona, R., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)30505-6 · Cited by 6,583
Cited by
Advances in Smart Environment Monitoring Systems Using IoT and Sensors
Ullo, S. L., & Sinha, G. R. (2020) · Sensors · doi:10.3390/s20113113 · Cited by 730
Energy-Efficient Data Collection and Device Positioning in UAV-Assisted IoT
Wang, Z., Liu, R., Liu, Q., Thompson, J. S., & Kadoch, M. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2952364 · Cited by 308
Anser, M. K., Ahmad, M., Khan, M. A., Zaman, K., Nassani, A. A., Askar, S. E., Abro, M. M. Q., & Kabbani, A. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-12114-y · Cited by 163
Baghezza, R., Bouchard, K., Bouzouane, A., & Gouin-Vallerand, C. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3127137 · Cited by 13
Metadata
- Authors
- Dhingra, S., Madda, R. B., Gandomi, A. H., Patan, R., & Daneshmand, M.
- Venue
- IEEE Internet of Things Journal
- Published
- 2019-06
- Volume
- 6
- Issue
- 3
- Pages
- 5577-5584
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- OpenAlex
- W2922446486
- Cited by
- 368
- References
- 1
- FWCI
- 20.83
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Internet of Things Mobile–Air Pollution Monitoring System (IoT-Mobair). https://app.cochat.ai/papers/10.1109/jiot.2019.2903821
- The paper
- Dhingra, S., Madda, R. B., Gandomi, A. H., Patan, R., & Daneshmand, M. (2019). Internet of Things Mobile–Air Pollution Monitoring System (IoT-Mobair). IEEE Internet of Things Journal. https://doi.org/10.1109/jiot.2019.2903821
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.