IoT with LoRa Architecture for Indoor Air Quality Monitoring System
| dc.authorscopusid | 57210577675 | en_US |
| dc.authorscopusid | 57193868250 | en_US |
| dc.contributor.author | Jouda, Mohammed | |
| dc.contributor.author | Wadi, Mohammed | |
| dc.contributor.author | Wadi, Mohammed | |
| dc.contributor.author | Jouda, Mohammed | |
| dc.date.accessioned | 2025-05-10T12:56:34Z | |
| dc.date.available | 2025-05-10T12:56:34Z | |
| dc.date.issued | 2024 | en_US |
| dc.department | Mühendislik ve Doğa Bilimleri Fakültesi | en_US |
| dc.description.abstract | Human beings need clean air for good health. A monitoring system is essential to detect any potential threats to air purity. An indoor air quality monitoring system is designed to identify pollutants and notify users when their levels become too high. These systems can be tailored to meet specific needs and are commonly used in both homes and commercial buildings. This paper presents a system that uses LoRa technology, which enables communication up to 10 kilometers, so accurate readings on air quality are given and alerts are made when it drops below acceptable levels. This makes it ideal for monitoring large areas where proper ventilation would be required. The design of the system continuously monitors each of the parameters of temperature, humidity, volatile organic compounds (VOCs), carbon dioxide (CO2), and particulate matter (PM) through index-based measurements aligned with international environmental protection standards. It provides real-time data and keeps records of daily and monthly averages. Moreover, through the MQTT protocol, thousands of users can monitor air quality from anywhere using the Internet of Things (IoT). | en_US |
| dc.identifier.citation | Jouda, M., & Wadi, M. (2024). IoT with LoRa architecture for indoor air quality monitoring system. 2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP), 1–6. https://doi.org/10.1109/IDAP64064.2024.10711110 | en_US |
| dc.identifier.doi | 10.1109/IDAP64064.2024.10711110 | |
| dc.identifier.endpage | 6 | en_US |
| dc.identifier.isbn | 979-833153149-2 | |
| dc.identifier.orcid | 0000-0002-7364-5059 | en_US |
| dc.identifier.orcid | 0000-0001-8928-3729 | en_US |
| dc.identifier.scopus | 2-s2.0-85207953374 | en_US |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.startpage | 1 | en_US |
| dc.identifier.uri | https://doi.org/10.1109/IDAP64064.2024.10711110 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12436/7645 | |
| dc.indekslendigikaynak | Scopus | |
| dc.institutionauthor | Jouda, Mohammed | |
| dc.institutionauthor | Wadi, Mohammed | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Air quality monitoring | en_US |
| dc.subject | Internet of Things | en_US |
| dc.subject | LoRa | en_US |
| dc.subject | Smart cities | en_US |
| dc.title | IoT with LoRa Architecture for Indoor Air Quality Monitoring System | en_US |
| dc.type | Conference Object | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | e57e2394-09f4-4128-bdb4-84c708867a9f | |
| relation.isAuthorOfPublication | 836815e7-0bc9-4212-a7d2-4e3da720641f | |
| relation.isAuthorOfPublication.latestForDiscovery | e57e2394-09f4-4128-bdb4-84c708867a9f |
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