As frequent changes of node movement and incomplete communication paths in delay tolerant networks cause messages to be forwarded only by chance of node meeting and blind message forwarding in such networks is liable to be low in success rate without knowing the node correlation

this paper proposes a meeting closeness-based dynamic estimation strategy for delaytolerant networks.On the basis of designing a calculation model of the inter-node conditional meeting time interval and the connection duration

it determines the closeness of the inter-node relationship

defines the delay tolerant network model

constructs the shortest path selection mechanism

dynamically selects the conditional shortest path and forwards the messages.Simulation data comparisons indicate that the proposed strategy can effectively improve the network performances

increase the message delivery success rate and lower the transmission delay and load ratio.