Challenges in Efficient Realtime Mobile Sharing

D. Bijwaard, E.H. Eertink, Paul J.M. Havinga

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    Abstract

    Future applications are envisioned to be adaptive to various changes in network, environment and situation. These so-called pervasive applications will be composed from both locally and globally available multimedia resources such as audio and video, web services and context sources. The rapidly increasing pervasiveness in todays networks, i.e. the number of mobile devices, the amount of data they generate and share (near) realtime increases rapidly. In fact this forms the basis for research efforts on the Internet of Things. The increased pervasiveness leads to numerous efficiency and scalability challenges. This chapter will detail the state of the art and binding concepts for efficient realtime sharing and mobility of multimedia and context. Additionally, it lists the associated challenges and their progress in a number of research projects.
    Original languageEnglish
    Title of host publicationInternet of Things and Inter-cooperative Computational Technologies for Collective Intelligence
    EditorsN. Bessis, F. Xhafa, D. Varvarigou, R. Hill, M. Li
    Place of PublicationBerlin
    PublisherSpringer
    Pages115-142
    Number of pages28
    ISBN (Print)978-3-642-34951-5
    DOIs
    Publication statusPublished - Jan 2013

    Publication series

    NameStudies in Computational Intelligence
    PublisherSpringer Verlag
    Number460
    Volume460
    ISSN (Print)1860-949X
    ISSN (Electronic)1860-9503

    Keywords

    • pervasiveness
    • EWI-22955
    • IR-84183
    • METIS-296248
    • Wireless
    • Sensor Networks
    • Multi-media

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  • Cite this

    Bijwaard, D., Eertink, E. H., & Havinga, P. J. M. (2013). Challenges in Efficient Realtime Mobile Sharing. In N. Bessis, F. Xhafa, D. Varvarigou, R. Hill, & M. Li (Eds.), Internet of Things and Inter-cooperative Computational Technologies for Collective Intelligence (pp. 115-142). (Studies in Computational Intelligence; Vol. 460, No. 460). Berlin: Springer. https://doi.org/10.1007/978-3-642-34952-2_5