Multi-Dimensional Privacy-Preserving Average Consensus in Wireless Sensor Networks

被引：15

作者：

Yu, Longxin ^{[1
]}

Yu, Wenwu ^{[1
,2
]}

Lv, Yuezu ^{[3
]}

机构：

[1] Southeast Univ, Sch Cyber Sci & Engn, Nanjing 210096, Peoples R China

[2] Nantong Univ, Dept Elect Engn, Nantong, Peoples R China

[3] Southeast Univ, Sch Math, Nanjing 210096, Peoples R China

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2022年 / 69卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Wireless sensor networks; Sensors; Privacy; Encryption; Data aggregation; Temperature sensors; Temperature measurement; Distributed average consensus; WSNs; RSA algorithm; DATA AGGREGATION;

D O I：

10.1109/TCSII.2021.3095952

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This brief studies the privacy preserving average consensus (PPAC) of wireless sensor networks (WSNs). Note that most of the PPAC schemes only focus on the consensus of one-dimensional state, which is not suitable for the actual scenarios. In view of this, the multi-dimensional privacy-preserving average consensus (MPPAC) problem is considered in this brief, where the nodes are divided into two types, the sink nodes and the ordinary ones. A novel MPPAC algorithm is proposed by introducing the super-increasing sequence as well as the RSA algorithm, where the super-increasing sequence plays a key role in tackling the multi-dimensional measurement of the sensors, and the RSA algorithm realizes the privacy preserving average consensus among sink nodes. Simulation results illustrate the effectiveness of this proposed scheme.

引用

页码：1104 / 1108

页数：5

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