基于环状检测器的WSN节点异常度双向多重检测方法

WSN Nodes Abnormal Degrees Two-way Multiple Detection Based on the Loop Detector

摘要:

双向多重检测一直是WSN节点异常检测的难点,结合人工免疫原理提出了基于环状检测器的WSN异常度双向多重检测方法,引入人工免疫原理,设计了环状检测器,利用环状检测器能够实现对异常信号的分级,并根据小波包提取信息的异常特征信号,结合设计的环状检测器进行检测,无需知道异常信号的参数和特点,只要有正常的信号样本就能对WSN节点的早期故障进行检测,实时预警;以美国Crossbow公司生产的内置震动传感器的WSN节点进行测试,测试结果表明,环状检测器在选择合适的内径和外径后,能够准确地对WSN节点的异常进行检测,检测准确率高达95%以上,比传统系统准确率提高了35%左右,满足了WSN系统对WSN节点准确检测的要求,有效地解决了传感网络节点异常双向检测的问题。

Abstract:

Two-way multiple detection has been the difficulty of WSN node anomaly detection based on artificial immune principle is presented based on the loop detector of WSN abnormality degrees two-way multiple detection method, this paper introduce artificial immune principle, designs the loop detector, using the loop detector can realize the abnormal signal classification, and according to the anomaly characteristics of the wavelet packet to extract the information of the signals, combining with the design of loop detector for testing, don't need to know parameters and characteristics of abnormal signal, as long as the normal signal samples can achieve early fault detection of WSN nodes, real-time early warning. Crossbow in the United States company's built-in vibration sensor of WSN node test, test results show that the inner and outer diameter of the loop detector in choosing appropriate, can accurately detect anomaly of WSN node detection accuracy is as high as 95% above, up about 35% higher than that of traditional system accuracy. Meet the requirement of the WSN system for WSN nodes, effective solve the problem of the abnormal bi-directional detection sensor network nodes. 