无线传感网移动数据采集效果提升方法  

Method for Improving Mobile Data Acquisition Effect of Wireless Sensor Network

作　　者：杨倩倩 王龙 YANG Qianqian;WANG Long(School of Big Data,Jinzhong College of Information,Taigu Shanxi 030800,China)

机构地区：[1]晋中信息学院大数据学院,山西太谷030800

出　　处：《传感技术学报》2022年第8期1144-1149,共6页Chinese Journal of Sensors and Actuators

基　　金：山西省教育科学“十四五”规划课题(GH-220055);山西省教育厅课题项目(J2021929,J2021933,J20221440,J20221441)。

摘　　要：为了进一步提高无线传感网移动数据采集效果,提出了基于最小生成树的无线传感网移动数据采集效果提升方法。利用无线传感网络计算信息熵权重信息、节点势值构成等势线,采用LEACH法对节点数据进行聚类划分,得到的聚类结果结合克鲁斯卡尔(Kruskal)算法构成最小生成树,并依据最小生成树分配数据收集时隙,至此完成了无线传感网移动数据采集效果提升。仿真结果表明,所提方法的数据采集误差小、数据采集能耗量均在0.06~0.07的最佳区间内、数据采集的延时率低于20%。由此证明所提方法提高了移动数据采集效果和利用率,满足了人们对移动数据采集的需求。A method to further improve the mobile data acquisition effect of wireless sensor network based on minimum spanning tree is proposed.The wireless sensor network is used to calculate the information entropy weight information and the node potential value to form the equipotential line.The node data is clustered and divided by LEACH method.The clustering results are combined with Kruskal algorithm to form the minimum spanning tree,and the data collection time slot is allocated according to the minimum spanning tree.So far,the effect of mobile data collection of wireless sensor network is improved.The simulation results show that the data acquisition error of the proposed method is small,the energy consumption of data acquisition is within the optimal range of 0.06~0.07,and the delay rate of data acquisition is less than 20%.It is proved that the proposed method improves the effect and utilization of mobile data acquisition and meets the requirement needs for mobile data acquisition.

关 键 词：无线传感网 信息熵权重 LEACH分簇算法 Sink数据采集方案 平滑Dubins曲线 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置]