Precision-Enhanced and Encryption-Mixed Privacy-Preserving Data Aggregation in Wireless Sensor Networks

被引：12

作者：

Yang, Geng ^{[1
]}

Li, Sen ^{[1
]}

Xu, Xiaolong ^{[1
]}

Dai, Hua ^{[1
]}

Yang, Zhen ^{[2
]}

机构：

[1] Nanjing Univ Posts & Telecommun, Coll Comp Sci & Technol, Jiangsu High Technol Res Key Lab WSNs, Nanjing 210046, Jiangsu, Peoples R China

[2] Nanjing Univ Posts & Telecommun, Network Technol Minist Educ, Key Lab Broadband Wireless Commun & Sensor, Nanjing 210046, Jiangsu, Peoples R China

来源：

INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS | 2013年

基金：

中国国家自然科学基金;

关键词：

Compendex;

D O I：

10.1155/2013/427275

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Security is always a hot topic in wireless sensor networks (WSNs). Privacy-preserving data aggregation has emerged as an important concern in designing data aggregation algorithm. This paper proposes a precision-enhanced and encryption-mixed privacy-preserving data aggregation (PEPDA). The objective is to reduce collision during data transmission and energy consumption and to compensate loss caused by the collision. Based on the Slice-Mix-AggRegaTe (SMART) scheme, it optimizes data slicing by using small data packet, node classifying, and positive and negative data slicing techniques. It also describes a randomized time slot and a data compensation algorithm. Theoretical analysis and simulation show that PEPDA demonstrates a good performance in terms of accuracy, complexity, and security.

引用

页数：12