Social-Aware Data Dissemination via Opportunistic Device-to-Device Communications

Device-to-device (D2D) communications provide a promising paradigm for data dissemination with low resource cost and high energy efficiency. In this paper, we propose a three-phase approach for D2D data dissemination, which exploits social-awareness and addresses users' incentive constraints via moneyless mechanisms. The proposed approach includes one phase of seed selection and two subsequent phases of data forwarding. First, we build a social-physical graph and partition it into communities based on edge-betweenness, and then select one seed for each community according to vertex-closeness. In the subsequent two data forwarding phases, we propose new mechanisms for message selection and cooperation pairing which take into account both altruistic and selfish behaviors of users. The theoretical analysis proves truthfulness of the message selection mechanism. Extensive simulation results further demonstrate the effectiveness of the three-phase approach.