Reputation system for User Generated wireless podcasting

Liang Hu, Lars Dittmann, J-Y Le Boudec

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    607 Downloads (Pure)


    The user-generated podcasting service over mobile opportunistic networks can facilitate the user generated content dissemination while humans are on the move. However, in such a distributed and dynamic network environment, the design of efficient content forwarding and cache management schemes are challenging due to the lack of global podcast channel popularity information at each individual node. We design a distributed reputation system at each node for estimating the global channel popularity information which is significant for forwarding and cache management decision. Our simulation result shows that, compare to history-based rank scheme, our reputation system can significantly improve system performance under community-based random way-point (C-RWP) mobility model and localized channel popularity distribution.
    Original languageEnglish
    Title of host publicationAustralasian Telecommunication Networks and Applications Conference, 2008. ATNAC 2008.
    Publication date2008
    ISBN (Print)978-1-4244-2602-7
    Publication statusPublished - 2008
    EventAustralasian Telecommunication Networks and Applications Conference, 2008. - Adelaide, SA
    Duration: 1 Jan 2008 → …


    ConferenceAustralasian Telecommunication Networks and Applications Conference, 2008.
    CityAdelaide, SA
    Period01/01/2008 → …

    Bibliographical note

    Copyright: 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE


    Dive into the research topics of 'Reputation system for User Generated wireless podcasting'. Together they form a unique fingerprint.

    Cite this