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

International audience 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...

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Bibliographic Details
Main Authors: Karbaschi, Golnaz, Carneiro Viana, Aline
Other Authors: As Scalable As Possible: foundations of large scale dynamic distributed systems (ASAP), Université de Rennes (UR)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)
Format: Conference Object
Language:English
Published: HAL CCSD 2009
Subjects:
Online Access:https://hal.inria.fr/inria-00429439
Description
Summary:International audience 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.