IoT with LoRa Architecture for Indoor Air Quality Monitoring System

dc.authorscopusid57210577675en_US
dc.authorscopusid57193868250en_US
dc.contributor.authorJouda, Mohammed
dc.contributor.authorWadi, Mohammed
dc.contributor.authorWadi, Mohammed
dc.contributor.authorJouda, Mohammed
dc.date.accessioned2025-05-10T12:56:34Z
dc.date.available2025-05-10T12:56:34Z
dc.date.issued2024en_US
dc.departmentMühendislik ve Doğa Bilimleri Fakültesien_US
dc.description.abstractHuman 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.citationJouda, 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/IDAP64064.2024.10711110en_US
dc.identifier.doi10.1109/IDAP64064.2024.10711110
dc.identifier.endpage6en_US
dc.identifier.isbn979-833153149-2
dc.identifier.orcid0000-0002-7364-5059en_US
dc.identifier.orcid0000-0001-8928-3729en_US
dc.identifier.scopus2-s2.0-85207953374en_US
dc.identifier.scopusqualityN/A
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1109/IDAP64064.2024.10711110
dc.identifier.urihttps://hdl.handle.net/20.500.12436/7645
dc.indekslendigikaynakScopus
dc.institutionauthorJouda, Mohammed
dc.institutionauthorWadi, Mohammed
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAir quality monitoringen_US
dc.subjectInternet of Thingsen_US
dc.subjectLoRaen_US
dc.subjectSmart citiesen_US
dc.titleIoT with LoRa Architecture for Indoor Air Quality Monitoring Systemen_US
dc.typeConference Object
dspace.entity.typePublication
relation.isAuthorOfPublicatione57e2394-09f4-4128-bdb4-84c708867a9f
relation.isAuthorOfPublication836815e7-0bc9-4212-a7d2-4e3da720641f
relation.isAuthorOfPublication.latestForDiscoverye57e2394-09f4-4128-bdb4-84c708867a9f

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