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Iot empowered open sensor network for environmental air pollution monitoring system in smart cities

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dc.contributor.author Sudantha, BH
dc.contributor.author Manchanayaka, MALSK
dc.contributor.author Yang, CY
dc.contributor.author Premachandra, C
dc.contributor.author Firdhous, MFM
dc.contributor.author Sumathipala, KASN
dc.contributor.editor Piyatilake, ITS
dc.contributor.editor Thalagala, PD
dc.contributor.editor Ganegoda, GU
dc.contributor.editor Thanuja, ALARR
dc.contributor.editor Dharmarathna, P
dc.date.accessioned 2024-02-05T13:24:28Z
dc.date.available 2024-02-05T13:24:28Z
dc.date.issued 2023-12-07
dc.identifier.uri http://dl.lib.uom.lk/handle/123/22168
dc.description.abstract Designing of an IoT-based air pollution monitoring system is a proactive and impactful approach to tackle the critical issue of air pollution and its adverse effects on the environment. Such a system is instrumental in offering real-time air quality data, empowering swift responses when pollution levels exceed acceptable thresholds. The system's design encompasses various hardware components, including carefully chosen air quality sensors, a microcontroller (Arduino Mega 2560), a communication module for the network connectivity, and a sustainable power supply. On the software front, the system involves data collection from sensors, data processing with calibration and conversion to air quality parameters, secure data transmission, storage, analysis, and an alerting mechanism. User interface development facilitates real-time and historical data visualization, while stringent security measures ensure data protection. Scalability, integration, and strategic deployment in key areas further enhance the system's effectiveness. Regular maintenance and updates are vital to ensuring accurate and reliable performance. Overall, implementing an IoT-based air pollution monitoring system is an essential step toward monitoring and addressing air quality concerns in a comprehensive and timely manner, ultimately fostering environmental awareness, and driving pollution mitigation efforts. en_US
dc.language.iso en en_US
dc.publisher Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. en_US
dc.subject IoT en_US
dc.subject AQM en_US
dc.subject Environmental monitoring System en_US
dc.subject Open Hardware en_US
dc.subject Open SoSemiconductor Sensors en_US
dc.subject Air pollution en_US
dc.subject Microcontrollers en_US
dc.subject Arduino mega en_US
dc.subject Air Quality Index (AQI) en_US
dc.title Iot empowered open sensor network for environmental air pollution monitoring system in smart cities en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty IT en_US
dc.identifier.department Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. en_US
dc.identifier.year 2023 en_US
dc.identifier.conference 8th International Conference in Information Technology Research 2023 en_US
dc.identifier.place Moratuwa, Sri Lanka en_US
dc.identifier.pgnos pp. 1-5 en_US
dc.identifier.proceeding Proceedings of the 8th International Conference in Information Technology Research 2023 en_US
dc.identifier.email sudanthabh@uom.lk en_US
dc.identifier.email lakdinim@uom.lk en_US
dc.identifier.email cyyang@mail.ntpu.edu.tw en_US
dc.identifier.email chintaka@shibaura-it.ac.jp en_US
dc.identifier.email firdhous@uom.lk en_US
dc.identifier.email sagaras@uom.lk en_US


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  • ICITR - 2023 [47]
    International Conference on Information Technology Research (ICITR)

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