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Research on Ranging Optimization and Twice-Weighted Centroid Calculation in Wireless Sensor Network Localization Algorithm

机译:无线传感器网络定位算法中的测距优化和二次加权质心计算研究

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In practical applications of ranging technology commonly used in wireless sensor positioning algorithm, rangingbetween nodes will inevitably produce errors due to environmental factors and measurement hardware effects. Thewireless sensor network localization algorithm DGC-TWCL proposed in this paper takes advantage of the Cayley-Mengerdeterminant used to provide distance geometry constraints(DGC) in two-dimensional real space to optimize and correctthe ranging error, combined with the twice-weighted centroid localization(TWCL) calculation, the final position of theunknown node can be obtained. The experiment results show that the algorithm can get the positioning results with higheraccuracy and better robustness.
机译:在无线传感器定位算法中常用的测距技术的实际应用中,由于环境因素和测量硬件的影响,节点之间的测距不可避免地会产生误差。本文提出的无线传感器网络定位算法DGC-TWCL利用Cayley-Menger行列式提供二维实空间中的距离几何约束(DGC)来优化和校正测距误差,并结合了两次加权质心定位( TWCL)计算,可以获得未知节点的最终位置。实验结果表明,该算法可以获得较高的定位精度和鲁棒性。

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