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Dangers associated with poor air quality are driving deployments of air quality monitoring technology. These deployments rely either on professional-grade measurement stations or a small number of low-cost sensors integrated into urban infrastructure. In this article, we present a research vision of real-time massive scale air quality sensing that integrates tens of thousands or even millions of air quality sensors to monitor air quality at fine spatial and temporal resolution. We highlight opportunities and challenges of our vision by discussing use cases, key requirements and reference technologies in order to establish a roadmap on how to realize this vision. We address the feasibility of our vision, introducing a testbed deployment in Helsinki, Finland, and carrying out controlled experiments that address collaborative and opportunistic sensor calibration, a key research challenge for our vision.
Originalspråkengelska
TidskriftIEEE Communications Magazine
Volym58
Utgåva2
Sidor (från-till)54 - 59
Antal sidor7
ISSN0163-6804
DOI
StatusPublicerad - feb 2020
MoE-publikationstypA1 Tidskriftsartikel-refererad

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title = "Towards Massive Scale Air Quality Monitoring",
abstract = "Dangers associated with poor air quality are driving deployments of air quality monitoring technology. These deployments rely either on professional-grade measurement stations or a small number of low-cost sensors integrated into urban infrastructure. In this article, we present a research vision of real-time massive scale air quality sensing that integrates tens of thousands or even millions of air quality sensors to monitor air quality at fine spatial and temporal resolution. We highlight opportunities and challenges of our vision by discussing use cases, key requirements and reference technologies in order to establish a roadmap on how to realize this vision. We address the feasibility of our vision, introducing a testbed deployment in Helsinki, Finland, and carrying out controlled experiments that address collaborative and opportunistic sensor calibration, a key research challenge for our vision.",
author = "{Hossein Motlagh}, Naser and Eemil Lagerspetz and Petteri Nurmi and Xin Li and Samu Varjonen and Julien Mineraud and Matti Siekkinen and Andrew Rebeiro-Hargrave and Tareq Hussein and Tuukka Pet{\"a}j{\"a} and Markku Kulmala and Sasu Tarkoma",
year = "2020",
month = "2",
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T1 - Towards Massive Scale Air Quality Monitoring

AU - Hossein Motlagh, Naser

AU - Lagerspetz, Eemil

AU - Nurmi, Petteri

AU - Li, Xin

AU - Varjonen, Samu

AU - Mineraud, Julien

AU - Siekkinen, Matti

AU - Rebeiro-Hargrave, Andrew

AU - Hussein, Tareq

AU - Petäjä, Tuukka

AU - Kulmala, Markku

AU - Tarkoma, Sasu

PY - 2020/2

Y1 - 2020/2

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AB - Dangers associated with poor air quality are driving deployments of air quality monitoring technology. These deployments rely either on professional-grade measurement stations or a small number of low-cost sensors integrated into urban infrastructure. In this article, we present a research vision of real-time massive scale air quality sensing that integrates tens of thousands or even millions of air quality sensors to monitor air quality at fine spatial and temporal resolution. We highlight opportunities and challenges of our vision by discussing use cases, key requirements and reference technologies in order to establish a roadmap on how to realize this vision. We address the feasibility of our vision, introducing a testbed deployment in Helsinki, Finland, and carrying out controlled experiments that address collaborative and opportunistic sensor calibration, a key research challenge for our vision.

U2 - 10.1109/MCOM.001.1900515

DO - 10.1109/MCOM.001.1900515

M3 - Article

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SP - 54

EP - 59

JO - IEEE Communications Magazine

JF - IEEE Communications Magazine

SN - 0163-6804

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