Identification of Key Nodes in Wireless Communication Networks

Each communication network target on the battlefield has different status and role in terms of structure and function. Key nodes play a vital role, and provided core support for the operation. There is little research work on key node identification in communication networks. This article abstracts the rules of communication activities into the weights of network topology edg-es. Use graph convolution network to synthesize multiple key node evalua-tion indicators. At the same time, we combine the node subgraph structure to make up for the one-sided shortcomings of a single evaluation index in measuring node influence and effectiveness. We use NS-3 network simulation software to simulate the Ad Hoc communication network. Susceptible-Infectious-Susceptible (SIS) and Susceptible-Infectious-Recovered (SIR) propagation are selected as evaluation indicators. The results show that the method proposed in this paper has more advantages in terms of accuracy.