Privacy-Preserving and Itinerary-Based Data Aggregation Algorithm in Wireless Sensor Networks

WANG Tao-chun; QIN Xiao-lin; ZHANG Ji; DING You-wei; CHEN Fu-long; LUO Yong-long

doi:10.3969/j.issn.0372-2112.2017.06.008

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Privacy-Preserving and Itinerary-Based Data Aggregation Algorithm in Wireless Sensor Networks

更新时间：2025-07-16

- Privacy-Preserving and Itinerary-Based Data Aggregation Algorithm in Wireless Sensor Networks
- Acta Electronica Sinica Vol. 45, Issue 6, Pages: 1334-1341(2017)
- 作者机构：
  
  1. 南京航空航天大学计算机科学与技术学院,江苏,南京,210003
  2. 安徽师范大学数学计算机科学学院,安徽,芜湖,241002
  3. 南昆士兰大学健康工程与科学学院,图文巴,澳大利亚,4350
  4. 南京航空航天大学计算机科学与技术学院,江苏,南京,210003
  5. 安徽师范大学数学计算机科学学院,安徽,芜湖,241002
  6. 南昆士兰大学健康工程与科学学院,图文巴,澳大利亚,4350
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61402014, No.61373015, No.61672039, No.61572036);Program sponsered by Research Fund for the Doctoral Program of Higher Education of Ministry of Education of China (No.20103218110017);Fundamental Research Funds for the Central Universities (No.NP2013307);Natural Science Foundation of Anhui Province (No.1508085QF133)
- DOI：10.3969/j.issn.0372-2112.2017.06.008
  CLC： TP301
- Published Online：25 June 2017，
  
  Published：2017
- 稿件说明：
移动端阅览
WANG Tao-chun, QIN Xiao-lin, ZHANG Ji, et al. Privacy-Preserving and Itinerary-Based Data Aggregation Algorithm in Wireless Sensor Networks[J]. Acta Electronica Sinica, 2017, 45(6): 1334-1341.
DOI：

WANG Tao-chun, QIN Xiao-lin, ZHANG Ji, et al. Privacy-Preserving and Itinerary-Based Data Aggregation Algorithm in Wireless Sensor Networks[J]. Acta Electronica Sinica, 2017, 45(6): 1334-1341. DOI： 10.3969/j.issn.0372-2112.2017.06.008.

摘要

针对现有隐私保护数据聚集算法依赖某种网络拓扑结构和加解密次数过多的问题，本文提出了一种基于同心圆路线的隐私保护数据聚集算法PCIDA （Privacy-preserving and Concentric-circle Itinerary-based Data Aggregation algorithm）.PCIDA沿着设计好的理想路线执行数据聚集，使得算法不依赖网络拓扑结构.PCIDA利用安全通道保证数据的隐私性，避免了数据聚集过程中的加解密运算.PCIDA沿着同心圆并行处理，使得算法数据处理延迟较小.理论分析和实验结果显示，PCIDA在较低通信量和能耗的情况下获得较高的数据隐私性和聚集精确度.

Abstract

To solve the problems that the existing privacy-preserving data aggregation relies on a network infrastructure

and data privacy is achieved by excessive encryption process

this paper proposes a privacy-preserving and concentric-circle itinerary-based data aggregation algorithm (PCIDA).Based on a well-designed ideal itinerary for data aggregation

PCIDA is not susceptible to network topology structure.In addition

PCIDA uses secure channel to ensure data privacy with no encryption/decryption operations during data aggregation.PCIDA performs data aggregation in parallel along with well-designed concentric-circle itineraries to achieve small delivery delay.Theoretical analysis and experimental results show that PCIDA enjoys low communication overhead and energy consumption

yet high safety and accuracy.

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