基于B-CNN算法的无线通信网络通信抗毁节点优化仿真

Optimization Simulation of Anti-corruption Nodes in Wireless Communication Network Based on B-CNN Algorithm

由于当前方法未能采用B-CNN算法对通信节点进行分类,导致优化时间增加,网络通信效率以及抗自毁性能下降,对此,提出一种基于B-CNN算法的无线通信网络通信抗毁节点优化方法,利用B-CNN模型定位初始节点中的显著区域,裁剪出显著区域,融合全局和局部特征;通过分类结果对网络连通拓扑结构进行修复,在考虑各个网络分区位置以及距离的基础上,建立网络骨干多边形,部署合适的中继节点完成各个分区的连通,进而实现无线通信网络通信抗毁节点优化。仿真实验结果表明,所提方法能够有效减少优化时间,提升网络通信效率以及抗自毁性能。

Due to the failure of using b-cnn algorithm to classify the communication nodes in current methods,the optimization time increases,and the network communication efficiency and self destruct performance decreases.Therefore,this paper proposes a wireless communication network communication anti destruct node optimization method based on b-cnn algorithm;Based on the classification results,the topology of network connectivity is repaired.Considering the location and distance of each network partition,the backbone polygon of the network is established,and appropriate relay nodes are deployed to complete the connectivity of each partition,so as to realize the optimization of the invulnerable nodes in wireless communication network.Simulation results show that the proposed method can effectively reduce the optimization time,improve the network communication efficiency and self destruction performance.