direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Ubiquitous Computing

Lupe

The Ubiquitous Computing paradigm describes a world in which electronic devices are not only unobtrusively embedded within the human’s environment but also in which electronic devices are interacting with each other to support humans in their daily life. Hence, Ubiquitous Computing deals with a wide range of research topics related to Pervasive Computing, Wearable Computing, Ambient Intelligence, Intelligent Environments, Automotive Computing and Smart Homes. Thereby, the context- and location-awareness of Ubiquitous Computing systems are the key enablers for many application scenarios such as carsharing, navigation systems, location-based marketing, home automation or context-aware services in general. The Ubiquitous Computing field is highly dependent on the underlying wireless communication technologies such as 5G networks, WLAN, Bluetooth, NFC etc., and many research questions deal with the optimization of protocols and algorithms that are applied over these wireless communication networks. 

Our research related to Ubiquitous Computing focuses on developing context-aware middlewares for smart mobile devices like smartphones, wearables or tablets. Our work encompasses the design and development of proactive context or location-based service infrastructures for indoor and outdoor environments as well the investigation of new methods for the datafication of mobile data. By enhancing context-aware systems with latest spatiotemporal data analytics techniques, we envision intelligent environments which are able to autonomically learn typical behavior patterns and adapt mobile applications according to situational needs. These self-adaptive systems come along with several interesting research challenges like automatic data processing and analysis, energy-efficient context-awareness and profile-based adaptation of mobile devices, which are all addressed within our research group.

Publications

Neidhardt, E. and Uzun, A. and Bareth, U. and Küpper, A. (2013). Estimating Locations and Coverage Areas of Mobile Network Cells based on Crowdsourced Data. Proceedings of the 6th Joint IFIP Wireless and Mobile Networking Conference. IEEE, 1-8.


Bareth, U. (2012). Simulating Power Consumption of Location Tracking Algorithms to Improve Energy-efficiency of Smartphones. Proceedings of the 36th Intl. IEEE Computer Software and Applications Conference (COMPSAC 2012). IEEE, 613-622.


Raschke, P. and Zickau, S. (2014). A Template-Based Policy Generation Interface for RESTful Web Services. On the Move to Meaningful Internet Systems: OTM 2014 Workshops. Springer Berlin Heidelberg, 137-153.


Clemens, K. (2013). Automated Processing of Postal Addresses. Proceedings of the 5th Intl. Conference on Advanced Geographic Information Systems, Applications, and Services (GEOProcessing 2013). IARIA, 155-160.


Rodriguez Garzon, S. and Deva, B. (2014). Geofencing 2.0: Taking Location-based Notifications to the Next Level. Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 919–930.


Rodriguez Garzon, S. and Elbehery, M. and Deva, B. and Küpper, A. (2016). Reliable Geofencing: Assisted Configuration of Proactive Location-based Services. Proceedings of the 2016 IEEE International Conference on Mobile Services. IEEE, 204–207.


Rodriguez Garzon, S. and Deva, B. and Hanotte, B. and Küpper, A. (2016). CATLES: A Crowdsensing-Supported Interactive World-Scale Environment Simulator for Context-Aware Systems. Proceedings of the International Conference on Mobile Software Engineering and Systems. Association for Computing Machinery, 77–87.


Uzun, A. and Lehmann, L. and Geismar, T. and Küpper, A. (2013). Turning the OpenMobileNetwork into a Live Crowdsourcing Platform for Semantic Context-aware Services. Proceedings of the 9th International Conference on Semantic Systems. ACM, 89-96.


Salem, M. and Ruppel, P. and Bareth, U. and Küpper, A. (2012). X-centric Positioning: A Combination of Device-centric and Multi-RAT Network-centric Positioning Approaches. Globecom Workshops (GC Wkshps 2012). IEEE, 1741-1746.


Zickau, S. and Küpper, A. (2012). Towards Location-based Services in a Cloud Computing Ecosystem. Ortsbezogene Anwendungen und Dienste - 9. Fachgespräch der GI/ITG-Fachgruppe Kommunikation und Verteilte Systeme. Universitätsverlag Chemnitz, 187-190.


Bareth, U. and Küpper, A. (2011). Energy-Efficient Position Tracking in Proactive Location-based Services for Smartphone Environments. Proceedings of the IEEE 35th Annual Computer Software and Applications Conference (COMPSAC 2011). IEEE, 516-521.


Zickau, S. and Beierle, F. and Denisow, I. (2015). Securing Mobile Cloud Data with Personalized Attribute-based Meta Information. Proceedings of the 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (Mobile Cloud 2015). IEEE, 205-210.


Kjärgaard, M. B. and Treu, G. and Ruppel, P. and Küpper, A. (2008). Efficient Indoor Proximity and Separation Detection for Location Fingerprinting. Proceedings of the 1st Intl. Conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications (Mobilware 2008)


Rodriguez Garzon, S. and Arbuzin, D. and Küpper, A. (2017). Geofence Index: A Performance Estimator for the Reliability of Proactive Location-Based Services. 2017 18th IEEE International Conference on Mobile Data Management (MDM), 1-10.


S. Rodriguez Garzon and M. Elbehery and B. Deva and A. Küpper (2016). Reliable Geofencing: Assisted Configuration of Proactive Location-based Services. 2016 IEEE International Conference on Mobile Services (MS), 204-207.


Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

TU Berlin - Service-centric Networking - TEL 19
Ernst-Reuter-Platz 7
10587 Berlin, Germany
Phone: +49 30 8353 58811
Fax: +49 30 8353 58409