ONSA:传感网中基于优化非均匀统计特性的源匿名协议

ONSA: optimal non-uniformly statistic-source anonymity protocol in WSN

针对无线传感网中分级信源位置隐私保护协议的特点,对不同尺寸簇及虚假信息注入统计特性在隐私性、延时和网络负载等方面进行了分析,在此基础上提出了基于优化非均匀统计特性的源匿名协议(ONSA),以优化非均匀分簇策略及相应符合非均匀统计特性的分级优化虚假信息注入方式来高效地保护信源节点位置隐私。仿真实验结果表明,与现有方法相比,ONSA能有效减少并均衡网络能量消耗,同时满足源位置隐私保护任务的实时性要求。

According to the characteristics of hierarchical event source-location privacy（SLP） in wireless sensor networks（WSN）. Firstly, the effect of the cluster size and the statistical property of fake packet injection on the privacy, latency and network traffic were analyzed. Then, an optimal non-uniformly statistic-source anonymity protocol（ONSA）was proposed to achieve source anonymity and reduce the network traffic. ONSA is designed to achieve a tradeoff between network traffic and real event report latency through adjusting the transmission rate and the radius of non-uniform clusters. The simulation results demonstrate that ONSA significantly reduces the network traffic while providing source anonymity and meeting the system requirement of the delay.