MegaSense: Cyber-Physical System for Real-time Urban Air Quality Monitoring

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dc.contributor.author Rebeiro-Hargrave, Andrew
dc.contributor.author Hossein Motlagh, Naser
dc.contributor.author Varjonen, Samu
dc.contributor.author Lagerspetz, Eemil
dc.contributor.author Nurmi, Petteri
dc.contributor.author Tarkoma, Sasu
dc.date.accessioned 2020-11-19T17:10:01Z
dc.date.available 2020-11-19T17:10:01Z
dc.date.issued 2020-11-09
dc.identifier.citation Rebeiro-Hargrave , A , Hossein Motlagh , N , Varjonen , S , Lagerspetz , E , Nurmi , P & Tarkoma , S 2020 , MegaSense: Cyber-Physical System for Real-time Urban Air Quality Monitoring . in 15th IEEE Conference on Industrial Electronics and Applications (ICIEA2020) . IEEE , IEEE Conference on Industrial Electronics and Applications , Kristiansand , Norway , 09/11/2020 . https://doi.org/10.1109/ICIEA48937.2020.9248143
dc.identifier.citation conference
dc.identifier.other PURE: 132849007
dc.identifier.other PURE UUID: 4464896f-d170-4cf1-8897-d5528732e57e
dc.identifier.other ORCID: /0000-0001-7527-5787/work/83841601
dc.identifier.other ORCID: /0000-0003-3875-8135/work/83843231
dc.identifier.other ORCID: /0000-0001-9923-9879/work/83843247
dc.identifier.other WOS: 000646627000001
dc.identifier.uri http://hdl.handle.net/10138/321750
dc.description.abstract Air pollution is a contributor to approximately one in every nine deaths annually. To counteract health issues resulting from air pollution, air quality monitoring is being carried out extensively in urban environments. Currently, however, city air quality monitoring stations are expensive to maintain, resulting in sparse coverage. In this paper, we introduce the design and development of the MegaSense Cyber-Physical System (CPS) for spatially distributed IoT-based monitoring of urban air quality. MegaSense is able to produce aggregated, privacy-aware maps and history graphs of collected pollution data. It provides a feedback loop in the form of personal outdoor and indoor air pollution exposure information, allowing citizens to take measures to avoid future exposure. We present a battery-powered, portable low-cost air quality sensor design for sampling PM2.5 and air pollutant gases in different micro-environments. We validate the approach with a use case in Helsinki, deploying MegaSense with citizens carrying low-maintenance portable sensors, and using smart phone exposure apps. We demonstrate daily air pollution exposure profiles and the air pollution hot-spot profile of a district. Our contributions have applications in policy intervention management mechanisms and design of clean air routing and healthier navigation applications to reduce pollution exposure. en
dc.format.extent 6
dc.language.iso eng
dc.publisher IEEE
dc.relation.ispartof 15th IEEE Conference on Industrial Electronics and Applications (ICIEA2020)
dc.relation.isversionof 978-1-7281-5169-4
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 113 Computer and information sciences
dc.subject Air quality
dc.subject Cyber-physical Systems
dc.subject Internet of Things
dc.subject Low-cost sensors
dc.subject Data integration and visualisation
dc.title MegaSense: Cyber-Physical System for Real-time Urban Air Quality Monitoring en
dc.type Conference contribution
dc.contributor.organization Department of Computer Science
dc.contributor.organization Content-Centric Structures and Networking research group / Sasu Tarkoma
dc.contributor.organization Helsinki Institute for Information Technology
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1109/ICIEA48937.2020.9248143
dc.rights.accesslevel openAccess
dc.type.version acceptedVersion

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