Dynamics Nature and Link Prediction Methods in Opportunistic Networks

With the increasing popularization of low-cost smart mobile devices, which have the capability of short-range wireless communication, opportunistic networks aimed to meet different requirements start to put into practice. However, because of the mobility of nodes, links in opportunistic networks is intermittent and dynamic, which results in the problems of long delay time and low success rate of delivery. And these problems limit the further development of opportunistic networks. To solve these problems, this paper proposes a solution framework based on prediction, explores potential methods that are applicable to opportunistic networks and compares their performance and suitable application model.