Abstract
Opportunistic network (OppNet) inherently involves links disconnection and messages dropping due to mobility or power exhaustion in the nodes. Routing and disseminating data are key and challengeable issues in this environment. Several routing schemes such as flooding-based, prediction-based, and social based are proposed to address this important problem. However, combining the exploitation of social features and other routing techniques can optimize performance especially in term of overhead reduction. In this paper, we propose a social aware protocol, called ProphSoc , combines social features with prediction schemes. It utilizes social properties to predict the probability of a node's data delivery. We evaluate our scheme against three benchmarks Epidemic, Prophet, and Bubble Rap. Imperial results using real dataset proves the superiority of ProphSoc over other approaches in term of overhead and average hop count reduction. In addition, In terms of delivery ratio and average latency, there is a fair tradeoff for comparison of ProphSoc with PRoPHET.