基于信号蝴蝶效应提取的无线传感网络失效区域检测

Detection of wireless sensor network failure area based on butterfly effect signal

针对无线传感网络(WSN)区域失效检测存在的范围精度低、误差大的问题,提出了一种WSN失效检测新模型。分析了WSN失效早期的信号特征,证明网络在失效前、后存在节点蝴蝶效应变化。引入虚拟区域的多维对偶模型,利用失效发生时,WSN节点蝴蝶效应变化在空间中表现出的对偶特征,对WSN中可能存在的失效风险进行检测,保证网络在不降低服务可用性的条件下完成失效区域检测。试验结果表明:该方法能够定量分析WSN失效对其安全性能的影响,且无需增加网络负担。

In order to solve the problem of the low precision and large error in the area failure detection of Wireless Sensor Network （WSN）, a new model for WSN failure detection is proposed. The signal characteristics of early failure in WSN are analyzed, and the butterfly effect of nodes is proved before and after the failure. By introducing the virtual multidimensional dual model area, and applying the dual characteristics in the space change of the butterfly effect of WSN node when the failure occurring, the risk of the failure existing in the WSN is detected, to ensure that the detection of network failure area does not reduce the service availability conditions. Experimental results show that the proposed method can quantitatively analyze the impact of WSN failure on its security performance without increasing the network burden.