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Interest-based prediction routing protocol in socially-aware opportunistic networks

People in life rely more and more on portable mobile devices. Many applications and services through wireless technologies are provided. Most of mobile devices are carried by people. Thus, the mobility of mobile devices is influenced heavily by people's social relationship. Socially-aware Opportunistic Networks are used in intermittently connected networks by use of store-carry-and-forward fashion. It is mainly based on social relationship to design solutions for problem such as routing protocol. In this paper, we study social relationship about interest information among people and use them to predict the contact probability. We present Interest-based Prediction routing protocol (InP) and establish experiments based on real trace data set from SIGCOMM2009. The simulation results show that the efficiency of InP outperforms Epidemic and PROPHET in higher delivery ratio, lower overhead and shorter average latency.