舰船电子通信网络群体节点位置自动预测方法

Automatic prediction method of group node location in ship electronic communication network

一旦电子通信网络群体节点位置预测不准确,就会直接影响网络覆盖率,导致通信中断,间接干扰战略部署。为此,研究一种舰船电子通信网络群体节点位置自动预测方法。该方法先确定电子通信网络群体节点初始布局情况,并以此构建节点分布模型,后在分布模型基础上,利用蒙特卡罗法实现节点位置自动预测。最后为证明方法性能,与神经网络自组织映射控制方法、模糊控制方法和灰度相空间重构方法进行对比。结果表明,与3种传统预测方法相比,利用本方法定位出来的节点位置方案进行覆盖模拟,覆盖总面积更大、重复覆盖面积更小、漏洞面积更小,由此说明本文方法预测性能更好,预测结果更为合理。

Once the location prediction of group nodes in electronic communication network is inaccurate,it will directly affect network coverage,lead to communication interruption and indirect interference with strategic deployment.For this reason,an automatic prediction method of group node location in naval electronic communication network is studied.This method first determines the initial layout of the group nodes in the electronic communication network,and then constructs the node distribution model.Based on the distribution model,the node location is automatically predicted by Monte Carlo method.The best way to prove the performance of the method is to compare it with neural network self-organizing mapping control method,fuzzy control method and gray phase space reconstruction method.The results show that compared with the three traditional prediction methods,the location of nodes located by this method can be used for coverage simulation,and the coverage area is larger and the repetitive coverage area is larger.The small size and smaller vulnerability area show that the prediction performance of this method is better and the prediction results are more reasonable.