传感器网络中隐私保护的高效数据聚集算法

Energy-efficient Data Aggregation Algorithm of Privacy in Sensor Networks

具有隐私保护能力的两层传感器网络数据聚集算法是当前的研究热点。首先,介绍安全多方计算中的安全求和协议;然后在此协议基础上提出了一种基于两层传感器网络的隐私保护的能量高效数据聚集算法PPEEDA(Privacy-Preserving Energy-Efficient Data Aggregation),PPEEDA在保证感知数据隐私的情况下实现感知数据聚集操作,Sink得到聚集结果。最后,通过理论分析和仿真实验结果表明,PPEEDA具有低通信量、低能耗、高安全性等特点。

The double-layer sensor network data aggregation algorithm with capability of privacy protection is a hot-spot issue for current research. Firstly, secure sum protocols in the secure multi-party computation is introduced, then a privacy-preserving energy-efficient data aggregation algorithm based on double-layer sensor network called PPEEDA is proposed, which can realize the aggregation of the data while ensuring its privacy and get the results with Sink. Finally, the results of theoretical analysis and simulation experiments show that PPEEDA is characterized by low traffic, low energy consumption, and high security.