电力无线传感器网络中不良数据的检测与修正
发布时间：2019-03-16 11:07
【摘要】：为检测无线传感器网络中的不良数据并对其修正,提出了一种新的不良数据检测与修正方法.该方法利用空间相关性以及先验数据建立一个数学模型,然后给出一定的偏离度范围.如果检验数据的偏离度在给定的偏离度范围内,则该数据为正常数据,反之,该数据为不良数据.在数据集上多次测试结果表明,该算法能够对不良数据进行检测与辨识,并给出了相对精确的估计值.
[Abstract]:In order to detect and correct bad data in wireless sensor networks, a new method of bad data detection and correction is proposed. This method uses spatial correlation and prior data to establish a mathematical model, and then gives a certain degree of deviation range. If the deviation of the test data is within a given deviation range, the data is normal and vice versa. The test results on the data set show that the proposed algorithm can detect and identify the bad data and give a relatively accurate estimate.
【作者单位】： 安阳师范学院软件学院;
【分类号】：TM73;TN929.5;TP212.9
[Abstract]:In order to detect and correct bad data in wireless sensor networks, a new method of bad data detection and correction is proposed. This method uses spatial correlation and prior data to establish a mathematical model, and then gives a certain degree of deviation range. If the deviation of the test data is within a given deviation range, the data is normal and vice versa. The test results on the data set show that the proposed algorithm can detect and identify the bad data and give a relatively accurate estimate.
【作者单位】： 安阳师范学院软件学院;
【分类号】：TM73;TN929.5;TP212.9
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