一种有效的无线传感器网络数据复原汇聚方法

当敌方对无线传感器网络节点感知数据施加的攻击增量较小时,现有的数据复原汇聚算法性能会降低。同时,由于此类算法没有考虑网络噪声干扰的影响,故现有算法对网络噪声干扰的稳健性较差。本文提出了一种基于灰色关联度及概率密度并联距离的数据复原汇聚方法。该方法借鉴IUMRDA的加权思想,引入灰色关联度和概率密度并联距离,并将两者统一在加权系数中,通过相应加权运算改善算法性能,有效提高攻击增量较小时复原汇聚结果的精度,增强对网络噪声干扰的稳健性。计算机仿真结果验证了该方法的有效性。

Effective Method for Resilient Data Aggregation in Wireless Sensor Networks

The performance of the existing resilient data aggregation methods in wireless sensor networks is reduced when the additive attack is low,and its robustness to resist the noise interference is also bad.For these considerations,a resilient data aggregation algorithm based on gray relationship degree and parallel distance of probability density is proposed.The method uses the weighted idea of IUMRDA for reference,and combines gray relationship degree and parallel distance of probability density into the weigh...