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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liang Hu Dittmann, L. Le Boudec, J.-Y. |
| Copyright Year | 2008 |
| Description | Author affiliation: Network Technol. & Service Platform, Tech. Univ. of Denmark, Lyngby (Liang Hu; Dittmann, L.) || Swiss Fed. Inst. of Technol., Lausanne (Le Boudec, J.-Y.) |
| Abstract | 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. |
| Starting Page | 373 |
| Ending Page | 378 |
| File Size | 224829 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424426027 |
| DOI | 10.1109/ATNAC.2008.4783353 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-07 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Content management Content based retrieval Bayesian methods System performance User-generated content Humans Cache storage Digital audio broadcasting Environmental management Protection |
| Content Type | Text |
| Resource Type | Article |
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