An blind identification algorithm of key nodes for UAV swarm communication network

In the action of counteracting UAV swarm, accurate and efficient identification of key nodes of UAV swarm communication network is of great significance for reducing the scope of monitoring and reconnaissance, reducing the amount of information processing and improving the efficiency of attack. In this paper, under non cooperative conditions, based on the intercepted electromagnetic wave signals of UAV swarm communication network, the communication event sequence is constructed, and the sequence is regarded as a multi-dimensional Hawkes process. Through estimating the model parameters of the multi-dimensional Hawkes process, the communication network topology of UAV swarm is deduced. On this basis, the importance of each node in the perceived network topology is evaluated and ranked by using the betweenness centrality index, and finally the efficient blind identification of key nodes in the UAV swarm communication network is realized. Meanwhile, some typical simulation scenario are constructed to verify and evaluate the effectiveness of the proposed algorithm.