Affiliation of Author(s):计算机科学与技术学院/人工智能学院/软件学院

Journal:WIRELESS PERSONAL COMMUNICATIONS

Key Words:Privacy-preserving Data aggregation Continuous Secure channel Slicing technology

Abstract:Privacy-preserving continuous data aggregation in wireless sensor networks has broad application prospects, such as environmental monitoring, health care, etc. However, the existing secure aggregation algorithms focus on snapshot data aggregation, so they are not suitable for continuous data aggregation in view of traffic and energy consumption. We propose a privacy preserving, energy-efficient and scalable continuous data aggregation (PECDA). PECDA takes advantage of secure channels to ensure data privacy to counter dramatic energy consumption caused by heavy encryption/decryption operations. In addition, PECDA filters data and thus greatly reduces traffic based on the temporal correlation of sensory data. Therefore, PECDA significantly reduces energy consumption and prolongs the lifetime of network. Theoretical analysis and experimental results show that PECDA has low communication overhead, energy-efficiency, high safety and scalability.

ISSN No.:0929-6212

Translation or Not:no

Date of Publication:2018-01-01

Co-author:Wang, Taochun,Ding, Youwei,Liu Liang,Luo, Yonglong

Correspondence Author:qxz