摘要
传统船舶状态网络监控节点受到扰动节点的影响,先验信息节点存在信任差量,导致节点信任度模型输出量精准度降低。为了解决先验信息节点的信任误差问题,提出船舶状态监控网络的节点信任度模型。首先对船舶状态数据进行数据结构的信任模型结构映射,固定模型结构数据量;然后,对状态数据节点关联参量进行信任量的约束定义;接着,通过数据节点的迭代特征,完成对信任模型的节点信任系数更新;最后对更新后,信任模型中的先验信息节点进行输出信任度确定计算,从而达到提升信任度模型输出量精准度的目的。通过与传统信任模型输出量的精准度对比,证明提出设计的模型研究方法,具有提升模型输出量精准度的效果。
The traditional ship state network monitoring node is affected by the disturbance node, and the prior information node has the trust difference, which leads to the decrease of the accuracy of the node trust model output. In order to solve the trust error problem of prior information nodes, a node trust model of ship state monitoring network is proposed. Firstly,the trust model structure mapping of ship state data structure is carried out to fix the data volume of model structure;then, the constraint definition of trust quantity is carried out on the association parameters of state data nodes;then, the node trust coefficient of trust model is updated by iterative feature of data node. By comparing with the accuracy of the traditional trust model output, it is proved that the proposed model research method has the effect of improving the accuracy of the model output.
作者
许镭
XU Lei(School of Information Engineering,Yellow River Conservancy Technical Institute,Kaifeng 475000,China)
出处
《舰船科学技术》
北大核心
2021年第10期175-177,共3页
Ship Science and Technology
