Every apparatus light enough to be humanly transported and with embedded computation power, such as laptops, PDA, new generation mobile phones.
Published in Chapter:
Mobility within Rich Multimedia Services
Frédéric Lassabe (University of Franche-Comté, France), Philippe Canalda (University of Franche-Comté, France), Damien Charlet (Research Associate at INRIA-Rocquencourt (ARLES Project), France), Pascal Chatonnay (University of Franche-Comté, France), and François Spies (University of Franche-Comté, France)
Copyright: © 2009
|Pages: 16
DOI: 10.4018/978-1-60566-046-2.ch056
Abstract
Advances in technology have enabled a proliferation of mobile devices and a broad spectrum of novel and outbreaking solutions for new applications and services. Presently 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 behavior that concerns and addresses not only the mobile usage or the infrastructure availability, but also 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 (e.g., museums), and network scalability.