Routing designs that combine with relay probability and social network analysis can fully utilize movement characteristic of nodes and enhance quality of message transmission from end to end. A delay-tolerant network routing based on probability of relay and social network analysis(RPRSA)is proposed based on the analyses of historical information of nodes encounters and social relationship. The analysis of historical information is to forecast short-run movement characteristic by independent probability computation and probability information exchange with each other when nodes encounter
and the analysis of social relation is to forecast long-run movement law by the degree of intimacy among nodes formed in long-run movements. Simulation results show that the proposed routing makes full use of movement features among nodes
guarantees the quality of messages transmission among the nodes with weak social relation and the isolate nodes
and enhances the quality of messages transmission from end to end.
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references
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