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Evaluation Method of Sensor Data Credibility based On Multi-Source Heterogeneous Information Fusion

机译:基于多源异构信息融合的传感器数据可信度评估方法

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摘要

The reliability of sensor node data is crucial for data processing, especially sensor network data for security monitoring. However, existing evaluation methods cannot effectively evaluate the data credibility when the sensors are occluded or damaged. In order to solve this issue, a credibility assessment method for sensor data is proposed in this paper by fusing multi-source heterogeneous sensor data. Experimental results on mine smoke data show that the proposed method could effectively improve the veracity of evaluation when the sensors are disturbed or blocked.
机译:传感器节点数据的可靠性对于数据处理至关重要,尤其是用于安全监控的传感器网络数据。然而,当传感器被堵塞或损坏时,现有的评估方法无法有效地评估数据可信度。为了解决这个问题,通过融合多源异构传感器数据,提出了一种用于传感器数据的可信度评估方法。矿井烟雾数据的实验结果表明,当传感器受到干扰或阻塞时,所提出的方法可以有效提高评估的真实性。

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