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AirCloud: a cloud-based air-quality monitoring system for everyone

Published: 03 November 2014 Publication History

Abstract

We present the design, implementation, and evaluation of AirCloud -- a novel client-cloud system for pervasive and personal air-quality monitoring at low cost. At the frontend, we create two types of Internet-connected particulate matter (PM2:5) monitors -- AQM and miniAQM, with carefully designed mechanical structures for optimal air-flow. On the cloud-side, we create an air-quality analytics engine that learn and create models of air-quality based on a fusion of sensor data. This engine is used to calibrate AQMs and mini-AQMs in real-time, and infer PM2:5 concentrations. We evaluate AirCloud using 5 months of data and 2 month of continuous deployment, and show that AirCloud is able to achieve good accuracies at much lower cost than previous solutions. We also show three real applications built on top of AirCloud by 3rd party developers to further demonstrate the value of our system.

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    cover image ACM Conferences
    SenSys '14: Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems
    November 2014
    380 pages
    ISBN:9781450331432
    DOI:10.1145/2668332
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    Published: 03 November 2014

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    Author Tags

    1. PM2.5
    2. air quality
    3. client-cloud calibration system

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    • (2024)FireLoc: Low-latency Multi-modal Wildfire GeolocationProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699318(1-14)Online publication date: 4-Nov-2024
    • (2024)A Quality-Aware and Obfuscation-Based Data Collection Scheme for Cyber-Physical Metaverse SystemsACM Transactions on Multimedia Computing, Communications, and Applications10.1145/365958221:2(1-23)Online publication date: 16-Apr-2024
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