Air quality monitoring is extremely important as air pollution has a direct impact on human health and is responsible for environmental problems, such as acid rain and the depletion of the ozone layer.
Nowadays, air pollution is monitored by networks of static measurement stations operated by official authorities. These stations are highly reliable and able to accurately measure a wide range of air pollutants using traditional analytical instruments. The drawbacks of these complex measurement systems are their large size, high price, and laborious maintenance. The extensive cost of acquiring and operating these stations severely limits the number of installations resulting in a limited spatial resolution of the available pollution information.
In recent years, several low-cost solid-state gas sensors became available on the market. Most of these sensors show an electrochemical reaction when exposed to a specific gas. These solid-state gas sensors are inexpensive, small, and suitable for mobile measurements. To measure the main pollutants in Zurich, we integrated a few low-cost gas sensors in wireless sensor nodes and deployed them on top of trams. The nodes' mobility allows obtaining a higher spatial measurement resolution and to increase the covered area without the need of hundreds or thousands of sensors. In this talk, I will concentrate on the challenges of designing and maintaining such an air quality monitoring network, on-the-fly calibration of low-cost sensors under mobility, and efficient measurement scheduling at city scale.
Olga Saukh is a postdoctoral fellow at the ETH Zurich working in the group headed by Prof. Dr. Lothar Thiele in the Computer Engineering and Networks Laboratory. Following her Bachelors in Applied Mathematics from the University of Kiev, Ukraine in 2002 and her Masters in Applied Computer Science from the University of Freiburg, Germany in 2004, she received her Ph.D. in Computer Science from the University of Bonn, Germany in 2009 under the guidance of Prof. Dr. Pedro Marron. Olga Saukh received the 2010 CONET Ph.D. Academic Award for her thesis „Efficient Algorithms for Structuring Wireless Sensor Networks“. Her current research focuses on developing, optimizing and analyzing algorithms for sensor networks, computational geometry and optimization.
The largest part of the Department of Computer Science, including the Dean's Office is housed near the city center:
In building S2 | 02 (Hochschulstr. 10) in the old-styled built facilities of the TU.
The location of this building (Hochschulstr. 10) is shown in the graph below:
Site plan TU facilities next to the city centre