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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

Geofence Index: A Performance Estimator for the Reliability of Proactive Location-Based Services
Zitatschlüssel 7962430
Autor Rodriguez Garzon, S. and Arbuzin, D. and Küpper, A.
Buchtitel 2017 18th IEEE International Conference on Mobile Data Management (MDM)
Seiten 1-10
Jahr 2017
ISSN 2375-0324
DOI 10.1109/MDM.2017.12
Monat May
Typ der Publikation SNET Data Ubiquitous
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