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Data transmission method for sensor devices in internet of things based on multivariate analysis

机译:基于多变量分析的物联网传感器设备的数据传输方法

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In this paper, tree diagrams and symbols in visualization technology are selected to display the security status of sensor networks, and fully mine the micro-details of the network through multi-dimensional display of monitoring target status. Time series maps are used to predict the operation trend of sensor networks in eight dimensions, and analyze network attack modes combined with image characteristics to evaluate the security situation of the Internet of Things. On this basis, a centralized wireless routing method is adopted to find the optimal path from all the sensing nodes to sink, which ensures that the sum of links average transmission times of the optimal path and the minimum energy consumption of data transmission are the minimum. The results show that this method can identify the state of sensor network and discriminate attack modes, and has less data transmission times and low energy consumption. (C) 2020 Elsevier Ltd. All rights reserved.
机译:在本文中,选择可视化技术中的树图和符号来显示传感器网络的安全状态,并通过监控目标状态的多维显示器完全挖掘网络的微细详细信息。 时间序列地图用于预测传感器网络的八维操作趋势,并分析网络攻击模式与图像特征相结合,以评估事物互联网的安全状况。 在此基础上,采用集中式无线路由方法来找到从所有感测节点到接收的最佳路径,这确保了最佳路径的平均传输时间和数据传输的最小能量消耗的总和是最小的。 结果表明,该方法可以识别传感器网络的状态和区分攻击模式,并且具有较少的数据传输时间和低能耗。 (c)2020 elestvier有限公司保留所有权利。

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