A user interest preferences based on-path caching strategy in named data networking

Abstract

In Named Data Networking (NDN), the massive contents make the existing caching strategies inefficient for content delivering with limited cache space. Since users have different interest preferences in different content categories, consideration of inner differences between users can improve the content delivering efficiency. A user interest preferences based on-path caching strategy is proposed for NDN. In the proposed strategy, user interest preferences for different content categories are obtained by analyzing and modeling the user behaviors. Then the caching decisions are made according to user interest preferences, content popularity and cache size of nodes. Simulations show that the modified content request scheme achieves better content variety and user preference diversity, and the proposed scheme outperforms other well-known caching placement strategies in local cache hit ratio, average hop count and caching evictions.