Wireless Sensor Network (WSN) is widely used in precision engineering, which requires strict data accuracy. Therefore, it is of practical value to evaluate the reliability of WSN data. Considering the complexity of the real environment, the sensor is bound to be affected by the disturbance factors. Currently, the research result of WSN data disturbance is not ideal. Because the results of reliability analysis are not necessarily credible under a disturbance environment. Thus, it is necessary to judge the reliability of sensor nodes in the disturbance environment. Therefore, disturbance analysis is introduced. In this paper, the temporal correlation and spatial correlation of measured data of WSN nodes are taken as reliability indicators. Through the disturbance analysis method to simulate the disturbance in the working process of nodes, a data reliability evaluation model of WSN nodes is proposed, which is based on the evidence reasoning (ER) rule in the disturbance environment. Based on the wireless sensor experiment of the Intel Berkeley research laboratory, the rationality of the model is explained in this paper. ER rule considering disturbance provides an effective method to analyze the reliability of WSN data.

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考虑扰动的无线传感器节点数据可靠性分析

无线传感器网络（WSN）广泛应用于精密工程，对数据精度有严格的要求。因此，评估WSN数据的可靠性具有实用价值。考虑到真实环境的复杂性，传感器必然会受到干扰因素的影响。目前，WSN数据扰动的研究结果并不理想。因为可靠性分析的结果在扰动环境下不一定可信。因此，有必要判断传感器节点在扰动环境中的可靠性。因此，引入扰动分析。本文以WSN节点实测数据的时间相关性和空间相关性作为可靠性指标。通过扰动分析方法模拟节点工作过程中的扰动，提出了一种基于扰动环境下的证据推理（ER）规则的WSN节点数据可靠性评估模型。本文基于英特尔伯克利研究实验室的无线传感器实验，阐述了模型的合理性。考虑扰动的ER规则为分析WSN数据的可靠性提供了一种有效的方法。