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Ubiquitous Computing


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.


A Context-sensitive Privacy-aware Framework for Proactive Location-based Services
Citation key Deva1509:Context
Author Deva, B. and Rodriguez Garzon, S. and Schünemann, S.
Title of Book 9th International Conference on Next Generation Mobile Applications, Services and Technologies 2015 (NGMAST'15)
Pages 138-143
Year 2015
ISBN 978-1-4799-8660-6
DOI 10.1109/NGMAST.2015.27
Address Cambridge, United Kingdom
Month sep
Publisher IEEE
Abstract The recent years have seen a vast growth of location-based services (LBS) usage with the ubiquity of smart mobile devices. While reactive LBS act on the user's request, proactive LBS notify the user proactively of relevant location-specific content in case a dedicated area is entered. The usage scenarios of proactive LBS vary from location-based reminders to location-based marketing. With the increasing popularity of LBS also privacy concerns are raised, reclaiming the whereabouts of a user worth protecting. This is especially true for proactive LBS as they constantly share the location of the mobile device with the service and hence continuously track the user's location in order to act proactively. This paper introduces a context-sensitive privacy-awareness framework for mobile devices which enables mobile device users to individually define different privacy preferences for different contexts. It is intended to give the user full control over her/his sensitive location information to allow the user to determine whenever and wherever the user's location is allowed to be shared with 3 rd party applications or services. As a proof of concept, a prototypical implementation is presented which enforces the user's context-sensitive privacy settings on mobile devices during the use of proactive LBS.
Bibtex Type of Publication SNET Ubiquitous
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