Martin Vetterli EPFL-Audiovisual Communications Laboratory
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.
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)
A model-based back-end for air quality data management Erol Can Un, Julien Eberle, Yongsung Kim, and Karl Aberer Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (UbiComp "13 Adjunct).
Energy-efficient Opportunistic Collaborative Sensing Julien Eberle, Zhixian Yan, Karl Aberer Proceedings of the 10th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2013), Hangzhou, China (October 2013)
ExposureSense: Integrating Daily Activities with Air Quality using Mobile Participatory Sensing Bratislav Predic, Zhixian Yan, Julien Eberle, Dragan Stojanovic, Karl Aberer Pervasive Computing and Communications Workshops (PERCOM Workshops), IEEE International Conference on, pp.303,305, March 2013