Approximation algorithm using: Neighbors, history and errors (NHE)

Maytham Safar, Nisreen Al-Masri
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Abstract

In this work we design an approximation algorithm using neighbors, history and errors (NHE algorithm) to analyze and approximate the behavior of sensors readings after it fails. NHE algorithm computes and associates a specific equation to each sensor that has factors computed using neighbors, history data and the approximation error as a feedback factor. In some cases, it is difficult to reach each sensor to read its value either due to a connection problem or the sensor itself is down and not reachable. In those cases, NHE algorithm uses the evaluated equations to approximate this down sensor reading. The results of the experiments using this algorithm prove that it is powerful but with specific constraints.
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使用邻域、历史和误差(NHE)的近似算法
在这项工作中,我们设计了一个使用邻居,历史和误差的近似算法(NHE算法)来分析和近似传感器读数失效后的行为。NHE算法为每个传感器计算并关联一个特定的方程,这些传感器使用邻居、历史数据和近似误差作为反馈因子计算因子。在某些情况下,由于连接问题或传感器本身关闭而无法到达,很难到达每个传感器以读取其值。在这些情况下,NHE算法使用评估的方程来近似这个向下传感器读数。实验结果表明,该算法功能强大,但有一定的约束条件。
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