能耗均衡约束下的多源异质传感器数据动态汇聚算法  

Dynamic Data Aggregation Algorithm for Multi￣Source Heterogeneous Sensors under the Constraint of Energy Balance

作　　者：陈坤定 林木辉[2] CHEN Kunding;LIN Muhui(Information Engineering College,Minxi Vocational and Technical College,Longyan Fujian 364000,China;Institute of Education,Fujian Normal University,Fuzhou Fujian 350007,China)

机构地区：[1]闽西职业技术学院信息工程学院,福建龙岩364000 [2]福建师范大学教育学院,福建福州350007

出　　处：《传感技术学报》2023年第11期1814-1819,共6页Chinese Journal of Sensors and Actuators

基　　金：福建省教育厅中青年教师教育科研项目(科技类)(JZ181053)。

摘　　要：多源异质传感器数据在无线传感网络中汇聚时,易受到无线传感网络冗余数据的干扰,导致其通信开销大、精度低。为此,提出能耗均衡约束下多源异质传感器数据动态汇聚算法。构建能耗均衡约束模型,保证多源异质数据节点在汇聚过程中所消耗的能量趋于平均值,采用监督判别投影算法对数据进行降维处理,消除数据中的冗余度,通过模糊分簇阈值筛选机制获取汇聚区域的簇头阈值,将簇区域内数据汇聚到传感器中,完成多源异质传感器数据的动态汇聚。仿真结果表明,所提算法的隐私泄露率在25%左右,通信开销在9 MB~46 MB之间,汇聚数据正确率高于90%,证明所提算法可有效降低通信开销,提高数据汇聚精度。When multi-source heterogeneous sensor data are gathered in wireless sensor networks,it is vulnerable to interference from re-dundant data in wireless sensor networks,resulting in high communication overhead and low accuracy.Therefore,a dynamic data aggre-gation algorithm for multi-source heterogeneous sensors under the constraint of energy consumption balance is proposed.The energy con-sumption balance constraint model is constructed to ensure that the energy consumed by multi-source heterogeneous data nodes in the process of aggregation tends to the average value.The supervised discriminant projection algorithm is used to reduce the dimensions of the data and eliminate the redundancy in the data,the cluster head threshold in the aggregation area is obtained through the fuzzy cluste-ring threshold screening mechanism,and the data in the cluster area are aggregated into the sensors to complete the dynamic aggregation of multi-source heterogeneous sensor data.The simulation results show that the privacy leakage rate of the proposed algorithm is about 25%,the communication overhead is between 9 MB and 46 MB,and the accuracy of data aggregation is higher than 90%,which proves that the proposed algorithm can effectively reduce the communication overhead and improve the accuracy of data aggregation.

关 键 词：多源异质传感器 数据动态汇聚 能耗均衡约束模型 监督判别投影 簇头阈值 汇聚链路 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]