Proceedings ArticleDOI
MegaSense: Megacity-scale Accurate Air Quality Sensing with the Edge
Eemil Lagerspetz,Samu Varjonen,Francesco Concas,Julien Mineraud,Sasu Tarkoma +4 more
- pp 843-845
TLDR
This paper 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, which integrates with the 5G cellular network and leverages mobile edge computing for sensor management and distributed pollution map creation.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%.read more
Citations
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The rise of low-cost sensing for managing air pollution in cities
Prashant Kumar,Lidia Morawska,Claudio Martani,George Biskos,George Biskos,George Biskos,Marina Neophytou,Silvana Di Sabatino,Margaret Bell,Leslie Norford,Rex Britter +10 more
TL;DR: In this article, the authors illustrate the drivers behind current rises in the use of low-cost sensors for air pollution management in cities, whilst addressing the major challenges for their effective implementation.
Proceedings ArticleDOI
MegaSense: Cyber-Physical System for Real-time Urban Air Quality Monitoring
Andrew Rebeiro-Hargrave,Naser Hossein Motlagh,Samu Varjonen,Eemil Lagerspetz,Petteri Nurmi,Sasu Tarkoma +5 more
TL;DR: The design and development of the MegaSense Cyber-Physical System (CPS) for spatially distributed IoT-based monitoring of urban air quality and its applications have applications in policy intervention management mechanisms and design of clean air routing and healthier navigation applications to reduce pollution exposure.
Proceedings ArticleDOI
Towards EDISON: An Edge-Native Approach to Distributed Interpolation of Environmental Data
Lauri Lovén,Ella Peltonen,Abhinay Pandya,Teemu Leppänen,Ekaterina Gilman,Susanna Pirttikangas,Jukka Riekki +6 more
TL;DR: This work identifies the challenges posed by spatial distribution of a weather prediction model, and suggests solutions for those challenges, and proposes EDISON: an edge-native interpolation approach based on AI methods, distributed horizontally on edge servers.
Journal ArticleDOI
EDISON: An Edge-Native Method and Architecture for Distributed Interpolation
Lauri Lovén,Tero Lähderanta,Leena Ruha,Ella Peltonen,Ilkka Launonen,Mikko J. Sillanpää,Jukka Riekki,Susanna Pirttikangas +7 more
TL;DR: In this paper, an edge-native architecture is proposed to distribute spatio-temporal interpolation models, their computations, and observed data vertically and horizontally between device, edge and cloud layers.
Proceedings ArticleDOI
Battery Health Estimation for IoT Devices using V-Edge Dynamics
TL;DR: This paper develops a new approach for facilitating the life-cycle management of large-scale sensor deployments through online estimation of battery health through so-called V-edge dynamics which capture and characterize instantaneous voltage drops.
References
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Journal ArticleDOI
The rise of low-cost sensing for managing air pollution in cities.
Prashant Kumar,Lidia Morawska,Claudio Martani,George Biskos,George Biskos,George Biskos,Marina Neophytou,Silvana Di Sabatino,Margaret Bell,Leslie Norford,Rex Britter +10 more
TL;DR: The drivers behind current rises in the use of low-cost sensors for air pollution management in cities are illustrated, while addressing the major challenges for their effective implementation.
Journal ArticleDOI
Field calibration of a cluster of low-cost available sensors for air quality monitoring. Part A: Ozone and nitrogen dioxide
Laurent Spinelle,Michel Gerboles,Maria Gabriella Villani,Manuel Aleixandre,Fausto Bonavitacola +4 more
TL;DR: In this article, the performances of several field calibration methods for low-cost sensors, including linear/multi linear regression and supervised learning techniques are compared, and the accuracy of the predicted values was evaluated for about five months using a few indicators and techniques: orthogonal regression, target diagram, measurement uncertainty and drifts over time of sensor predictions.
Journal ArticleDOI
Validate personal air-pollution sensors
Alastair C. Lewis,Peter Edwards +1 more
TL;DR: Media attention and the increasing availability of data are reinvigorating efforts in many countries to tackle air pollution, driven as much by local and national politics as by science.
Proceedings ArticleDOI
Mosaic: A low-cost mobile sensing system for urban air quality monitoring
TL;DR: The design, implementation, and evaluation of Mosaic, a low cost urban PM2.5 monitoring system based on mobile sensing, are presented.