Project Description

Mobile communications and inexpensive embedded  sensors open new opportunities in terms of environmental monitoring, such as air quality. However, the impact of doing such measurements  on a massive scale, with uncontrolled mobility and end user involvement is not well understood nowadays. This poses novel challenges in terms of system architecture, distributed algorithms and data analysis that are addressed in this project. 

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With or without a driver, vehicles are able to cooperate

Measuring air pollution on a bicycle

Modeling and Evaluation of Thermal System Properties

Distributed Sensing Using Resource-Constrained Multi-Robot Systems


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Virtually moving base stations for energy efficiency in wireless sensor networks
R. Zhang, P. Thiran, M. Vetterli
MobiHoc'15: the sixteenth ACM international symposium on mobile ad hoc networking and computing

The beauty of the commons: optimal load sharing by base station hopping in wireless sensor networks
R. Zhang, F. Ingelrest, G. Barenetxea, P. Thiran, M. Vetterli
IEEE Journal on Selected Areas in Communications

DASS: Distributed Adaptive Sparse Sensing
Z. Chen, J. Ranieri, R. Zhang and M. Vetterli
IEEE Transactions on Wireless Communications

Model-view Sensor Data Management in the Cloud
Tian Guo, Thanasis G. Papaioannou and Karl Aberer
Proceedings of IEEE International Conference on Big Data (2013)


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Designing for Mobile Air Quality Services


Route Selection of Mobile Sensors for Air Quality Monitoring
Saukh, Hasenfratz, Noori, Ulrich, Lothar Thiele

Participatory Air Pollution Monitoring Using Smartphones
Hasenfratz, Saukh, Sturzenegger, Lothar Thiele

OptiMoS: Optimal Sensing for Mobile Sensors
Zhixian Yan, Julien Eberle, Karl Aberer


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