Role playing mobility model for mobile social networks

In this paper, we first propose a mobility model for mobile social networks (MSNs) by exploiting the fact that people's daily lives have community preference and depend on repeated daily schedules. The proposed mobility model can integrate people's roles, daily activities as well as occasional activities. Our studies and simulation results show that the proposed model is capable of generating the mobility patterns that best fit the real traces recorded, when compared with two existing mobility models. Furthermore, based on the proposed mobility model, we investigate the routing performance of our previously proposed social contact probability assisted routing (SCPR) protocol and of five other routing protocols proposed in literature. Our performance results show that the SCPR protocol is capable of attaining the best trade-off between delivery ratio and delivery delay.