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所属单位：计算机科学与技术学院/人工智能学院/软件学院
发表刊物：WIRELESS PERSONAL COMMUNICATIONS
关键字：Privacy-preserving Data aggregation Continuous Secure channel Slicing technology
摘要：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号：0929-6212
是否译文：否
发表时间：2018-01-01
合写作者：Wang, Taochun,Ding, Youwei,刘亮,Luo, Yonglong
通讯作者：秦小麟