A social DTN routing protocol based on periodical node mobility prediction

Social Delay Tolerant Networks (Social DTNs) are promising by exploiting transfer opportunities between mobile devices to forward data for future network applications. Efficient data forwarding protocols are needed to adapt to the node mobility and intermittent connectivity of social DTNs. Previous forwarding algorithms present the node mobile patterns to promote opportunistic routing performance. In this work we introduce the node mobility period into the packet routing. A mobility prediction scheme based on node behavior period can effectively help routing decision. Realistic trace-based simulation shows that the proposed algorithm achieves performance improvement comparing with Epidemic with desirable delivery ratio and fewer delivery cost.