Mobility Prediction for Multimedia Services

Mobility Prediction for Multimedia Services

Damien Charlet (INRIA-Rocquencourt (ARLES Project), France), Frédéric Lassabe (University of Franche-Comté, France), Philippe Canalda (University of Franche-Comté, France), Pascal Chatonnay (University of Franche-Comté, France) and François Spies (University of Franche-Comté, France)
DOI: 10.4018/978-1-59904-953-3.ch123
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Advances in technology have enabled a proliferation of mobile devices and a broad spectrum of novel and out breaking solutions for new applications and services. In the present, more and more people and companies are demanding mobile access to multimedia services such as real-time rich media. Today, it is necessary to be able to predict adaptation behaviour which concerns and addresses not only the mobile usage or the infrastructure availability, but the service quality especially the continuity of service. Our chapter provides insight to new challenges of mobile multimedia services and applications: Wifi indoor positioning system adapted to heterogeneous building, static and learning mobility prediction, predictive handover policy for multimedia cache management, mobile multimedia guide (such as museum), and network scalability.

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