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An Extended Centroid Localization Algorithm Based on Error Correction in WSN

机译:基于WSN纠错的基于纠错的扩展质心定位算法

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Error correction is capable of enhancing the accuracy and validity of positioning, thus is attractive to utilize it for sensor positioning network. Considering the high accuracy feature of error correction, this paper provides a novel sensor positioning algorithm named ECL (An extended centroid localization algorithm based on error correction), which greatly improves the positioning accuracy. By analyzing the probability distribution of measurement error, the mathematical expression of measurement error based on two-point positioning scheme is given. Then the high-accuracy positioning is completed until the estimated coordinates based on three-point positioning have been corrected. In addition, the proposed ECL algorithm uses some sensors, which have known locations, participating in the second localization, and further improving centroid localization algorithm for reliability and practicality. Simulation results demonstrate that the accuracy and validity of the proposed algorithm all outperform conventional methods with acceptable complexity.
机译:误差校正能够提高定位的精度和有效性,因此有吸引力用于传感器定位网络。考虑到纠错的高精度特征,本文提供了一种名为ECL的新型传感器定位算法(基于纠错的扩展质心定位算法),这大大提高了定位精度。通过分析测量误差的概率分布,给出了基于两点定位方案的测量误差的数学表达。然后完成高精度定位,直到已经校正了基于三点定位的估计坐标。此外,所提出的ECL算法使用一些传感器,该传感器具有参与第二本地化的位置,以及进一步改善质心定位算法以实现可靠性和实用性。仿真结果表明,所提出的算法的准确性和有效性都具有可接受的复杂性的常规方法。

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