低能耗的无线传感器网络隐私数据融合方法

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清华大学辅仁网/2017-07-07

低能耗的无线传感器网络隐私数据融合方法

苘大鹏¹, 王臣业², 杨武¹, 王巍¹, 玄世昌¹, 靳小鹏¹

1. 哈尔滨工程大学信息安全研究中心, 哈尔滨 150001;
2. 哈尔滨工程大学国家大学科技园, 哈尔滨 150001

Energy-efficient cluster-based privacy data aggregation for wireless sensor networks

MAN Dapeng¹, WANG Chenye², YANG Wu¹, WANG Wei¹, XUAN Shichang¹, JIN Xiaopeng¹

1. Information Security Research Center, Harbin Engineering University, Harbin 150001, China;
2. National Science Park of Harbin Engineering University, Harbin 150001, China

摘要:

输出: BibTeX | EndNote (RIS)

摘要针对已有无线传感器网络隐私保护数据融合方法普遍存在节点计算量和通信量较大的问题，基于原有的分簇隐私数据融合方法（CPDA），提出一种低能耗的数据融合隐私保护方法（E-CPDA）。在每轮融合过程中由簇头随机选取协作节点，通过协作节点配合簇头进行数据的隐私保护融合，以有效降低节点的计算量和通信量。仿真结果表明：相比于CPDA方法，E-CPDA方法在保证数据隐私性的前提下，在计算量、通信量和融合精度上都有较大的提升。

关键词 ：无线传感器网络,隐私保护,数据融合

Abstract：Current privacy-preserving data aggregation methods in wireless sensor networks often have large computational and communication costs. This paper presents an energy-efficient cluster-based privacy data aggregation (E-CPDA) mechanism based on the cluster-based privacy data aggregation (CPDA) method. In each round of aggregation, the cluster head chooses a node as a collaborative node for the aggregation, which reduces the computational and communication costs between the nodes in one cluster. Simulations show that E-CPDA has less communication and computational costs with good privacy-preserving performance and higher accuracy than CPDA.

Key words：wireless sensor network (WSN)privacy preservation data aggregation

收稿日期: 2016-06-29 出版日期: 2017-02-21

ZTFLH:

TP393

通讯作者:王臣业,研究员,E-mail:wangchenye@hrbeu.edu.cnE-mail: wangchenye@hrbeu.edu.cn

引用本文:

苘大鹏, 王臣业, 杨武, 王巍, 玄世昌, 靳小鹏. 低能耗的无线传感器网络隐私数据融合方法[J]. 清华大学学报（自然科学版）, 2017, 57(2): 213-219.
MAN Dapeng, WANG Chenye, YANG Wu, WANG Wei, XUAN Shichang, JIN Xiaopeng. Energy-efficient cluster-based privacy data aggregation for wireless sensor networks. Journal of Tsinghua University(Science and Technology), 2017, 57(2): 213-219.

链接本文:

http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2017.22.017或 http://jst.tsinghuajournals.com/CN/Y2017/V57/I2/213

图表:

表1 簇内融合的符号说明

图1 簇内节点广播种子值

图2 簇头节点广播选定节点的种子值

图3 信息交互过程

图4 协作节点向簇头发送运算结果

图5 EGCPDA 与CPDA 的隐私度比较(p_c=1/5)

图6p_c值不同时EGCPDA 的隐私度对比

图7 簇规模分布(节点连接度数d=12)

图8 EGCPDA 与CPDA的簇内通信量对比(p_c=1/5)

图9p_c=1/3时EGCPDA 与CPDA 的总通信量对比

图10p_c=1/5时EGCPDA 与CPDA 的总通信量对比

图11 EGCPDA与CPDA剩余能量比

图12p_c=1/5时EGCPDA与CPDA精确度对比

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