Critical Node Identification of Power Wireless Private Communication Network Based on Complex Network

Abstract

With the continuous development of the smart grid, the power wireless private communication network carries more and more services, and the network structure is becoming more and more complex. In order to accurately identify the critical nodes in the power wireless private communication network, this paper studies the critical node identification of communication networks based on complex network theory. Firstly, the network model is constructed based on the network topology of the power wireless private communication network, and the degree centrality and the betweenness centrality of the node are analyzed and used as node evaluation index. The information entropy weight method is used to calculate the objective weight of the evaluation index, and the importance degree of each node is calculated by the TOPSIS method to complete the critical node identification of the power wireless private communication network. The simulation results show that the critical node identification method of power wireless private communication network based on complex network theory can provide technical support for improving the operation and management of power wireless private communication network. At the same time, by setting redundant backup settings and security protection for critical nodes, the network efficiency and reliability of the power wireless private communication network can be improved.