A Game Theoretical Interest Forwarding for Cached Data in Content-Centric Networking

Abstract

Content-Centric Networking (CCN) has recently emerged as a clean slate approach to rethink Internet foundations, which changes from host-centric communication model to contentcentric. It is common that the current router does not have all the information of cached data in network, because of the huge naming space and volatility of Content Store in each router. In this paper, we argue that it is necessary to supplement CCN with mechanisms to make multiple Interests forwarding for cached data. Our goal is to maximize the residual capacity in the network so that users can get the maximum payoff in a definite network situation. We proposed a game theoretical Interest Forwarding Decisions to analysis the properties of user behavior. Evaluation results prove that our proposals improve user’s payoff in the light load case for content-centric networking.