A Social Aware Routing Protocol with Multi-social Features in Opportunistic Mobile Social Networks

With the widespread popularity and usage of ICT around the world, the ubiquity of data collection and transmission change our daily life and the society. Opportunistic Mobile Social Networks (OMSNs), formed by people moving around with mobile devices, enhance spontaneous communication among users that opportunistically encounter each other can be exploited to improve the performance of data forwarding. Existing protocols take advantage of spatial contact frequency and social characteristics to enhance transmission performance. However, they have not exploited enough of the relations and the effects between geographical information, social features and user interests. In this paper, we first evaluate these three characteristics of users and design a routing protocol call Geo-Social-Interest (GSI) protocol to select optimal relay nodes. We adopt Improved Optimal Routing (IOR) strategy to enhanced dynamic social features to more capture node's social behavior to efficiently improve the routing protocol. We compare the performance of GSI to Epidemic and SimBet routing protocols using real INFOCOM06 data sets. The experiment results demonstrate that GSI overcomes the other protocols with highest data delivery ratio and low communication overhead.