低能耗的无线传感器网络隐私数据融合方法

苘大鹏, 王臣业, 杨武, 王巍, 玄世昌, 靳小鹏

清华大学学报（自然科学版） ›› 2017, Vol. 57 ›› Issue (2) : 213-219.

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清华大学学报（自然科学版） ›› 2017, Vol. 57 ›› Issue (2) : 213-219. DOI: 10.16511/j.cnki.qhdxxb.2017.22.017
信息工程

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
作者信息 +

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

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

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.

关键词

无线传感器网络 / 隐私保护 / 数据融合

Key words

wireless sensor network (WSN) / privacy preservation / data aggregation

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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 https://doi.org/10.16511/j.cnki.qhdxxb.2017.22.017
MAN Dapeng, WANG Chenye, YANG Wu, WANG Wei, XUAN Shichang, JIN Xiaopeng. Energy-efficient cluster-based privacy data aggregation for wireless sensor networks[J]. Journal of Tsinghua University(Science and Technology). 2017, 57(2): 213-219 https://doi.org/10.16511/j.cnki.qhdxxb.2017.22.017
中图分类号： TP393   

参考文献

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