An end-to-end approach to host mobility
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Aura: an Architectural Framework for User Mobility in Ubiquitous Computing Environments
WICSA 3 Proceedings of the IFIP 17th World Computer Congress - TC2 Stream / 3rd IEEE/IFIP Conference on Software Architecture: System Design, Development and Maintenance
Interaction of All IP Mobile Internet Devices with Networked Appliances in a Residential Home
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
A Policy-Based Approach for Resource Specification in Small Devices
UBICOMM '08 Proceedings of the 2008 The Second International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
A quantitative model for user preferences based on qualitative specifications
Proceedings of the 2009 international conference on Pervasive services
Journal of Artificial Intelligence Research
Reasoning with conditional ceteris paribus preference statements
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Introducing variable importance tradeoffs into CP-nets
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
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With the increasing demand for multimedia contents and with the increased usage of small hand-held devices, a user in a home network has a number of devices at hand that may offer similar multimedia services but with varying capabilities. The user may choose one device for using a particular multimedia service at one time, and change to another device at another time. The user may, however, continue using the same service and maintain their previous session on the new device without restarting a new session. Although this can be achieved using one of the session continuity approaches described in the literature, in this paper we propose how user preferences can be used for selection of a device for session continuity. A qualitative preference model is suggested, which is then translated into a quantitative model to choose the most appropriate device for user.