Classification of node degree based on deep learning and routing method applied for virtual route assignment

In recent years, the importance of various wireless network technologies has increased. Specifically, in communication environments noted for severe conditions, such as disasters, war, and terrorism, collaboration between fixed communication infrastructure and wireless ad-hoc networks is indispensable. In this paper, the node degree of wireless communication is classified for disaster situations, and virtual routes are set according to the predetermined node degree. Then, the proposed routing method is employed with base stations as the infrastructure, such that a route may be assigned, maintained, and recovered. Our classification of wireless degree nodes uses deep learning, and virtual routes are created by employing the Viterbi algorithm. The proposed routing method is compared with existing methods (AODV, OLSR, and ZRP) from the viewpoint of route discovery times and reachability via simulations.