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首页> 外文期刊>International Journal of Distributed Sensor Networks >A Location Predicting Method for Indoor Mobile Target Localization in Wireless Sensor Networks
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A Location Predicting Method for Indoor Mobile Target Localization in Wireless Sensor Networks

机译:无线传感器网络中室内移动目标定位的位置预测方法

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摘要

Node position information is one of the important issues in many wireless sensor networks' usages. In this paper, based on path planning, a location predicting method (PPLP) for indoor mobile target localization is proposed. We first establish the path planning model to constrain the movement trajectory of the mobile target in indoor environment according to indoor architectural pattern. Then, one certain localization result can be obtained using MLE algorithm. After that, based on the path-planning model and some previous localization results, the most likely position of the target in the next time interval can be predicted with the proposed predicting approach. Finally, the MLE result and prediction result are weighted to obtain the final position. The simulation results demonstrate the effectiveness of the proposed algorithm.
机译:节点位置信息是许多无线传感器网络使用中的重要问题之一。本文基于路径规划,提出了一种用于室内移动目标定位的位置预测方法(PPLP)。我们首先建立了路径规划模型,以根据室内建筑模式来约束移动目标在室内环境中的运动轨迹。然后,使用MLE算法可以获得一个确定的定位结果。之后,基于路径规划模型和一些先前的定位结果,可以使用所提出的预测方法来预测目标在下一个时间间隔中的最可能位置。最后,对MLE结果和预测结果进行加权以获得最终位置。仿真结果证明了该算法的有效性。

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