Performance Analysis for Content Distribution in Crowdsourced Content-Centric Mobile Networking

Abstract

Content-Centric Networking emerges as a promising paradigm which has a better content distribution efficiency and mobility via named data and in-network caching compared with the IP-based network. However, providing a high quality of experience in content distribution of Content-Centric Mobile Networking (CCMN) is challenging due to the heterogeneous networks, varying wireless channel conditions and incentive strategies to mobile users. In this work, we propose a novel crowdsourced content distribution framework for CCMN. This framework enables the nearby mobile users to crowdsource their caching resources and radio links for cooperative content distribution. We formulate the problem as the maximization of the payoff of all users which considers content retrieve time and energy cost. Further, we analysis the upper bound and lower bound of the proposed system in term of user payoff, which can be a benchmark for the future scheduling algorithms and incentive mechanisms design.