Adaptive Routing Based on Bayesian Network and Fuzzy Decision Algorithm in Delay-Tolerant Network

The topology of delay-tolerant network (DTN) changes frequently. The whole network is disconnected and there exists no end-to-end path for messages. We need a kind of mechanism called store-carry-forward to overcome this fault in DTN. However, traditional end-to-end routing protocols do not meet this requirements. Researchers developed many kinds of DTN routing protocols and different routing protocol fits different application characteristics. Because of the variable application characteristics, we should choose suitable routing protocols according to application requirements. For example, if the current traffic is heavy or the size of the message is too big, we should use routing protocols with small copy number, if the transmission is emergent, we should use routing protocols with short delay. This paper proposes the concept of adaptive routing, meaning choosing routing protocols based on application characteristics in DTN. We develop an adaptive routing scheme according to particular requirements, history network information and current network conditions in network scenarios and validate that with adaptive routing scheme the network performances improve a lot in many aspects, such as delay, overhead and delivery through simulations.