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Linear-regression-based Weighted Centroid Localization Algorithm in Wireless Sensor Network*

机译:无线传感器网络中基于线性回归的加权质心定位算法*

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Based on establishment of mathematical models,this paper proposed a new localization algorithm based on range-free mechanism which called linear-regression-based weighted centroid localization algorithm.This algorithm improved weighted centroid localization algorithm by the use of hops between nodes, centralizaion and then calibrated the nodes' position by the use of linear regression. Finally, the algorithm corrected the position through certain parameters. On matlab simulation platform, comparing with the original centroid localization algorithm, this new algorithm's average localization error dropped by more than half and localization ratio was increased to close to 1.
机译:基于数学模型的建立,本文提出了一种基于无距离机制的本地化算法,该算法称为基于线性回归的加权质心定位算法。本算法通过在节点,竞争力之间使用跳跃来改进加权质心定位算法通过使用线性回归校准节点的位置。最后,该算法通过某些参数校正了位置。在MATLAB仿真平台上,与原始质心定位算法进行比较,这种新的算法的平均定位误差超过一半和定位比率增加到接近1。

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