无线传感技术在船舶物联网异常节点检测中的应用  

Application of wireless sensor technology in abnormal node detection of ship Internet of things

作　　者：毛莉君[1] 马悦 MAO Li-jun;MA Yue(Intelligent Science&Information Engineering College,Xi’an Peihua University,Xi’an 710125,China)

机构地区：[1]西安培华学院智能科学与信息工程学院,陕西西安710125

出　　处：《舰船科学技术》2021年第14期196-198,共3页Ship Science and Technology

基　　金：陕西省教育厅2020年度一般专项科学研究计划项目(20JK0820)

摘　　要：船舶物联网受到攻击后,容易出现数量不一、属性不同的异常节点,为此,研究无线传感技术在船舶物联网异常节点检测中的应用。将网络所有节点部署到二维平面网格聚类,通过加权滤波法确定物联网聚类集合中的信号强度,根据节点离群程度判定异常值节点位置。实验结果表明,测试设置了3组节点数量不一、属性不同的异常节点方案,在无线传感技术的应用下,只遗漏了1个异常节点,说明无线传感技术能够应用到船舶物联网中检测异常数据。After the ship Internet of things is attacked,it is easy to appear abnormal nodes with different number and attributes.Therefore,this paper studies the application of wireless sensor technology in the detection of abnormal nodes in the ship Internet of things.All the nodes of the network are deployed to the two-dimensional plane grid clustering,and the signal strength in the clustering set of the Internet of things is determined by the weighted filtering method,and the outlier node position is determined according to the degree of node outlier.The experimental results show that three groups of abnormal nodes with different number of nodes and different attributes are set up in the test,and only one abnormal node is left out in the application of wireless sensor technology,which indicates that wireless sensor technology can be applied to detect abnormal data in the ship Internet of things.

关 键 词：无线传感技术 船舶物联网 异常节点 检测效果 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]