A Content-based Network Coding to Match Social Interest Similarities in Delay Tolerant Networks

Golnaz Karbaschi 1 Aline Carneiro Viana 1
1 ASAP - As Scalable As Possible: foundations of large scale dynamic distributed systems
UR1 - Université de Rennes 1, Inria Saclay - Ile de France, INSA - Institut National des Sciences Appliquées, CNRS - Centre National de la Recherche Scientifique : UMR
Abstract : Considering users' social characteristics leads to better exploitation of network coding in delay tolerant networks. We present a content-based network coding that aims to match the social interests similarities (i.e., same profession, hobbies, interests, etc.) of people in a community. We aim to provide a more adaptive-to-social-network coding and lower decoding delay for the users that are interested in different contents. This approach has the potential to open interesting research horizons.
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Conference papers
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https://hal.inria.fr/inria-00429439
Contributor : Aline Carneiro Viana <>
Submitted on : Monday, November 2, 2009 - 7:42:38 PM
Last modification on : Friday, October 26, 2018 - 10:27:45 AM

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  • HAL Id : inria-00429439, version 1

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Golnaz Karbaschi, Aline Carneiro Viana. A Content-based Network Coding to Match Social Interest Similarities in Delay Tolerant Networks. ExtremeCom Workshop, Aug 2009, Laponia, Sweden. ⟨inria-00429439⟩

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