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Real-time air quality monitoring through mobile sensing in metropolitan areas

Published: 11 August 2013 Publication History

Abstract

Traditionally, pollution measurements are performed using expensive equipment at fixed locations or dedicated mobile equipment laboratories. This is a coarse-grained and expensive approach where the pollution measurements are few and far in-between. In this paper, we present a vehicular-based mobile approach for measuring fine-grained air quality in real-time. We propose two cost effective data farming models -- one that can be deployed on public transportation and the second a personal sensing device. We present preliminary prototypes and discuss implementation challenges and early experiments.

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    cover image ACM Conferences
    UrbComp '13: Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
    August 2013
    135 pages
    ISBN:9781450323314
    DOI:10.1145/2505821
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    Published: 11 August 2013

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    Author Tags

    1. air quality
    2. mobile sensing
    3. participatory sensing
    4. pollution
    5. social networks
    6. urban sensing

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    • (2024)Real-world observations of reduced nitrogen and ultrafine particles in commercial cooking organic aerosol emissionsAtmospheric Chemistry and Physics10.5194/acp-24-1281-202424:2(1281-1298)Online publication date: 30-Jan-2024
    • (2024)Crowdsourcing Geospatial Data for Earth and Human Observations: A ReviewJournal of Remote Sensing10.34133/remotesensing.01054Online publication date: 22-Jan-2024
    • (2024)Advancements in Mobile-Based Air Pollution Detection: From Literature Review to Practical ImplementationJournal of Sensors10.1155/2024/48950682024(1-17)Online publication date: 28-Mar-2024
    • (2024)MobiAir: Unleashing Sensor Mobility for City-scale and Fine-grained Air-Quality Monitoring with AirBERTProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661872(223-236)Online publication date: 3-Jun-2024
    • (2024)SecDR: Enabling Secure, Efficient, and Accurate Data Recovery for Mobile CrowdsensingIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2023.326226821:2(789-803)Online publication date: Mar-2024
    • (2024)Efficient Path Planning for UAVs to Recognize Chimneys With Excessive Exhaust EmissionsIEEE Internet of Things Journal10.1109/JIOT.2024.336313911:10(18580-18592)Online publication date: 15-May-2024
    • (2024)Online User Recruitment With Adaptive Budget Segmentation in Sparse Mobile CrowdsensingIEEE Internet of Things Journal10.1109/JIOT.2023.331881711:5(8526-8538)Online publication date: 1-Mar-2024
    • (2024)A review on indoor air quality monitoring system: a mechatronics approachAerobiologia10.1007/s10453-024-09835-9Online publication date: 29-Aug-2024
    • (2023)Smart Vehicle-Emissions Monitoring System Using Internet of Things (IoT)Handbook of Research on Safe Disposal Methods of Municipal Solid Wastes for a Sustainable Environment10.4018/978-1-6684-8117-2.ch014(191-211)Online publication date: 14-Jul-2023
    • (2023)Integrated IoT-Based Air Quality Monitoring and Prediction System: A Hybrid Approach2023 IEEE International Symposium on Smart Electronic Systems (iSES)10.1109/iSES58672.2023.00099(441-444)Online publication date: 18-Dec-2023
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