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SUMMARY:PhD thesis public defense on "Mobile Sensor Networks for Air Quali
 ty Monitoring in Urban Settings"
DTSTART:20160829T170000
DTSTAMP:20260505T014834Z
UID:2f8e9a33d8d0ee090b72addf0f60dd6c560fbaecac696095fbbd5df4
CATEGORIES:Conferences - Seminars
DESCRIPTION:Adrian Arfire\nWith urban populations rapidly increasing and m
 illions of deaths being attributed annually to air pollution\, there is a 
 critical need for a deeper understanding of urban air quality. The localit
 y of urban emissions sources\, and the specific topography of cities lead 
 to a very heterogeneous pollutant concentration landscape\, the details of
  which cannot be captured by traditional monitoring stations. Although hig
 hly accurate\, these systems are large\, heavy and very expensive\, which 
 leads to a very sparse distribution of measurements.\n\nMobile sensor netw
 orks hold the potential to allow a paradigm shift  in our understanding o
 f urban air pollution\, through an augmentation of the spatial resolution 
 of measurements. The road to achieving reliable high quality information f
 rom these type of systems is\, however\, full of challenges. These start f
 rom the system design\, as the task of developing robust mobile sensing ne
 tworks for continuous urban monitoring is arduous in itself. The limitatio
 ns of existing sensor technology lead to issues of signal distortion and m
 ake the task of maintaining long-term sensor calibration very difficult. F
 inally\, the development of appropriate modeling techniques that would ena
 ble us to generate high-resolution pollution maps based on mobile sensor n
 etwork data is a hard problem due to the inherently dynamic and partial co
 verage of such systems.\n\nThe aim of this thesis is to show the feasibili
 ty of mobile sensor networks for monitoring air quality and their ability 
 to achieve the goal of pushing our understanding of urban air pollution. W
 e have taken a holistic approach\, by studying the end-to-end system\, and
  addressing each of the aforementioned challenges. Using public transporta
 tion vehicles for mobility\, we have developed and deployed a full-scale m
 obile sensor network for monitoring the air quality in the city of Lausann
 e\, Switzerland.
LOCATION:BC 02 https://plan.epfl.ch/?room==BC%2002
STATUS:CONFIRMED
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