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首页> 外文会议>International Conference on Dependable Systems and Their Applications >Node Location In Distributed Wireless Sensor Networks Based on Weighted Least Square Estimation
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Node Location In Distributed Wireless Sensor Networks Based on Weighted Least Square Estimation

机译：基于加权最小二乘估计的分布式无线传感器网络节点定位

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摘要

In order to solve the problems of traditional localization methods, such as large localization error and low localization accuracy, a new localization method based on weighted least square estimation is proposed. In this method, firstly, a distributed wireless propagation model is established according to the structural characteristics of the nodes in the distributed wireless sensor network. Then, the weighted least square estimation algorithm is used to determine the weight of the nodes. Through the weight analysis of the nodes to be determined, the accurate location of the nodes in the network is calculated. Compared with the traditional localization methods, the results show that the localization error of the method based on weighted least square estimation is obviously smaller than that of the traditional method, and it has higher localization accuracy, which has good practicability.
机译：为了解决传统定位方法存在的定位误差大，定位精度低的问题，提出了一种基于加权最小二乘估计的定位方法。在这种方法中，首先，根据分布式无线传感器网络中节点的结构特征，建立分布式无线传播模型。然后，使用加权最小二乘估计算法确定节点的权重。通过对要确定​​的节点进行权重分析，可以计算出节点在网络中的准确位置。结果表明，与传统定位方法相比，基于加权最小二乘估计的定位误差明显小于传统定位方法，定位精度较高，具有较好的实用性。

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