On the Social Network Centrality Principle for Human Centric Efficiency

The use of Social Network Centrality alongside Content Centric Networking is used towards improving user's access to content, as well as maximizing the efficient exploitation of network resources. This work demonstrates how online Social Network Centrality can be used with content centric solutions for efficient content distribution in AAL environments. The benefits of this approach are highlighted, by conducting simulations and providing results on the performance of the proposed research approach. In particular, this work shows how the proposed resource allocation method improves the regular IP-based content delivery allocation in the distribution of content. Facebook data is used as a super-set of AAL data, in order to map users to a network graph and using their social proximity to determine where content can be effectively cached. The efficiency of the proposed scheme is validated for its performance through simulations, indicating the level of the offered efficiency in contrast to content distribution.