MegaSense: Megacity-scale Accurate Air Quality Sensing with the Edge

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

This demo presents MegaSense, an air pollution monitoring system for realizing low-cost, near real-time and high resolution spatio-temporal air pollution maps of urban areas. MegaSense involves a novel hierarchy of multi-vendor distributed air quality sensors, in which accurate sensors calibrate lower cost sensors. Current low-cost air quality sensors suffer from measurement drift and they have low accuracy. We address this significant open problem for dense urban areas by developing a calibration scheme that detects and automatically corrects drift. MegaSense integrates with the 5G cellular network and leverages mobile edge computing for sensor management and distributed pollution map creation. We demonstrate MegaSense with two sensor types, a state of the art air quality monitoring station and a low-cost sensor array, with calibration between the two to improve the accuracy of the low-cost device. Participants can interact with the sensors and see air quality changes in real-time, and observe the mechanism to mitigate sensor drift. Our re-calibration method minimizes the error for NO2 and O3 81% of the time (vs single calibration) and reduces the mean relative error by 25%-45%.
Original languageEnglish
Title of host publicationMobiCom '18 Proceedings of the 24th Annual International Conference on Mobile Computing and Networking
Number of pages3
Place of PublicationNew York, NY
PublisherACM
Publication date2018
Pages843-845
ISBN (Print)978-1-4503-5903-0
DOIs
Publication statusPublished - 2018
MoE publication typeNot Eligible
EventAnnual International Conference on Mobile Computing and Networking - New Delhi, India
Duration: 29 Oct 20182 Nov 2018
Conference number: 24
https://sigmobile.org/mobicom/2018/

Bibliographical note

Demo

Fields of Science

  • 113 Computer and information sciences
  • Air quality
  • Edge
  • Cloud computing
  • Calibration
  • articifial intelligence

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