摘要
基于改进数据采集结果冗余的目的,研究舰船通信网络不完整节点数据模糊采集算法。根据所定义的节点传输数据的概率,并结合聚类阈值,对不完整节点数据进行模糊聚类,选定聚类簇中心。采用平滑参数对舰船通信网络数据中的冗余数据进行处理,并提取不完整节点的数据特征向量。构建目标函数,通过求解最优路径来实现数据采集,同时考虑比特序列开销值,输出最优解。测试结果表明,采用提出的方法对不完整节点数据进行模糊采集时,数据集的平均冗余度为22,具备较为理想的数据采集效果。
To improve the redundancy of data collection results,a fuzzy collection algorithm for incomplete node data in ship communication networks is studied.Based on the defined probability of node data transmission and combined with clustering threshold,fuzzy clustering is performed on incomplete node data to select the cluster center.By using smoothing parameters to process redundant data in ship communication network data and extract data feature vectors of incomplete nodes.Construct an objective function to achieve data collection by solving the optimal path,while considering the cost value of the bit sequence and outputting the optimal solution.The test results show that when using the proposed method for fuzzy collection of incomplete node data,the average redundancy of the dataset is 22,which has a relatively ideal data collection effect.
作者
刘逸飞
LIU Yifei(Shanghai Salvage Company,Shanghai 200090,China)
出处
《电子设计工程》
2024年第1期170-174,共5页
Electronic Design Engineering
关键词
通信网络
不完整节点
模糊采集
数据冗余度
communication networks
incomplete nodes
fuzzy acquisition
data redundancy
作者简介
刘逸飞(1986—),男,上海人,硕士,工程师。研究方向:信息化架构与网络数据安全、船舶通信。
