Probability Prediction Using Improved Method in Delay-Tolerant Network

Abstract

Delay-Tolerant Network is a widely used network these days. Nodes are connected with each other and pass information between each other. The node that obtains the message accumulates it and advances its duplicate to another node it experiences. There are many parameters used to evaluate the Delivery Probability (DP) and storage of each node is also used because in DTN all the nodes should be capable of storing the message if the path is not available. In this paper, an improved method (EEA-PRoPHET) is proposed for increasing the probability prediction and transitivity of the nodes.