基于数据分片的WSN安全数据融合方案优化  

Optimization of WSN Secure Data Aggregation Scheme Based on Data Slice

作　　者：王军 陈羽 田鹍 赵子君 WANG Jun;CHEN Yu;TIAN Kun;ZHAO Zi-jun(Shengyang University of Chemical Technology,Shengyang 11042,China)

机构地区：[1]沈阳化工大学计算机科学与技术学院,辽宁沈阳110142

出　　处：《沈阳化工大学学报》2020年第2期171-177,共7页Journal of Shenyang University of Chemical Technology

基　　金：辽宁省高校创新人才支持计划(LR2018057);辽宁省“百千万人才工程”资助项目(辽人社【2019】146号);辽宁省自然基金项目(20190200828);辽宁省教育厅项目(XXLJ2019010)。

摘　　要：无线传感器网络是物联网的重要组成部分,在数据融合的同时加入隐私保护机制是无线传感器网络隐私保护的重要手段之一.为解决SMART算法中数据融合精度低、能耗高等缺点,提出一种基于预测模型的安全数据融合算法P-SMART.通过预测模型预测感知节点的未来数值来弥补传输过程中丢失的分片,从而提高数据融合精度并减少数据通信量,降低能耗.仿真结果显示P-SMART算法不仅有效提高了数据融合精度,降低能耗,延长网络生命周期,还降低了节点间数据传输的延迟.Wireless sensor network is an important part of the Internet of things.It is one of the important means of privacy protecion to join the privacy protection mechanism while data fusion.In order to solve the shortcomings of low data aggregation precision and high energy consumption in SMART algorithm,a security data aggregation algorithm P-SMART based on prediction model is proposed.In order to improve the accuracy of data fusion,reduce the amount of data communication and reduce the energy consumption,a predication model is used to predict the future value of the sensing node to make up for the missing segments in the transmission process.The simulation results show that the P-SMART algorithm not only effectively improves the data aggregation accuracy,reduces energy consumption,extends the network life cycle,but also reduces the delay of data transmission between nodes.

关 键 词：数据融合 隐私保护 预测模型 延迟 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]