海洋浮标无线通信网络多维度信息聚类算法

Research on multidimensional information clustering algorithms for marine buoy wireless communication network

传统无线通信网络中采用的通信聚类算法,在海洋浮标无线通信网络使用中,受到海洋浮标收发基点数据维度影响,无法对交互数据进行权重参量进行多维度变量计算,导致多个浮标基点间的数据交互面变窄,数据流量下降的问题。因此,本文提出海洋浮标无线通信网络多维度信息聚类算法研究。通过引入多维度交互算法,对海洋交互面上的每个浮标无线通信基点信号,进行多维度数据交互逻辑修正;接着引入多维度信息聚类算法,对修正后的多维度交互信号进行多维度空间下的数据交互加权的聚类计算,从而实现多个海洋浮标基点间无线通信交互的量化有优化;最后,通过仿真实验,证明提出的海洋浮标无线通信网络多维度信息聚类算法,能够有效解决传统算法存在的问题。

The communication clustering algorithm used in traditional wireless communication network is affected by the dimension of base data of ocean buoy receiving and receiving,which can not calculate the weight parameters of interactive data in multi-dimensional variables,resulting in the narrowing of data interaction surface between multiple buoy base points and the decrease of data traffic.Therefore,this paper proposes a multi-dimensional information clustering algorithm for ocean buoy wireless communication network.By introducing the multi-dimensional interaction algorithm,the multi-dimensional data interaction logic is corrected for each buoy wireless communication base point signal on the ocean interaction surface.Then the multi-dimensional information clustering algorithm is introduced to calculate the data interaction weighted clustering of the revised multi-dimensional interactive signal in the multi-dimensional space,so as to realize the quantification of the wireless communication interaction between multiple buoy base points.Finally,the simulation results show that the proposed multi-dimensional information clustering algorithm for ocean buoy wireless communication network can effectively solve the problems of traditional algorithms.