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

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.