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首页> 外文期刊>Telecommunication systems: Modeling, Analysis, Design and Management >An improved Weighted Centroid Localization algorithm based on difference of estimated distances for Wireless Sensor Networks
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An improved Weighted Centroid Localization algorithm based on difference of estimated distances for Wireless Sensor Networks

机译：一种改进的基于估计距离差异的加权质心定位算法

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摘要

With the widespread applicability of the Wireless Sensor Networks (WSN), localization of nodes is becoming more and more essential because of the invalidity of the massages without localization information. An algorithm called Weighted Centroid Localization (WCL) provides a simple method to localize the unknown nodes. The algorithm obtains the localization of unknown nodes by averaging the coordinates of their anchor nodes whose positions are inherently known. To improve the localization accuracy, WCL introduces the weights to attract the estimated position to approach the anchor node which has more influence, but its accuracy still has some margin for improvement. So some algorithms are presented to improve the accuracy of WCL and the modified-WCL (MWCL) algorithm is an efficient algorithm. Based on MWCL, WCL with difference of estimated distances (WCL-DED) is presented in this paper which further improves the accuracy.
机译：随着无线传感器网络（WSN）的广泛应用，由于没有定位信息的消息无效，因此节点的定位变得越来越重要。一种称为加权质心定位（WCL）的算法提供了一种定位未知节点的简单方法。该算法通过平均位置固有已知的锚节点的坐标来获得未知节点的定位。为了提高定位精度，WCL引入了权重来吸引估计位置来逼近具有更大影响力的锚节点，但其精度仍有一定的提高空间。因此提出了一些提高WCL准确性的算法，而改进的WCL（MWCL）算法是一种有效的算法。基于MWCL，提出了估计距离不同的WCL（WCL-DED），进一步提高了精度。

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