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DV-Hop localization algorithms based on centroid in wireless sensor networks

机译:无线传感器网络中基于质心的DV-Hop定位算法

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The localization of the unknown nodes is essential for many applications in wireless sensor networks (WSN). But the traditional DV-Hop algorithm has not high accuracy of the localization of the nodes. In this paper, we proposed an improved DV-Hop location algorithm based on reduce the accumulation errors of the average hop distance of the unknown nodes in wireless sensor networks. We have made detailed analysis of the DV-Hop algorithm, and have introduced the weighted averaged method for calculate to the average hop distance in the second stages. Then the estimates regional based on two beacon nodes is built, and the centroid of the region is the coordinates of the unknown node. Simulation experiments are conducted to compare the traditional DV-Hop algorithm and improved DV-Hop algorithm. The simulation results show that the proposed algorithm has better localization accuracy based on the same or different number of the sensor nodes and the communication radius.
机译:对于无线传感器网络(WSN)中的许多应用而言,未知节点的定位至关重要。但是传统的DV-Hop算法对节点的定位精度不高。在本文中,我们提出了一种改进的DV-Hop定位算法,它可以减少无线传感器网络中未知节点的平均跳距的累积误差。我们对DV-Hop算法进行了详细的分析,并引入了加权平均法来计算第二阶段的平均跳跃距离。然后建立基于两个信标节点的估计区域,该区域的质心是未知节点的坐标。进行了仿真实验,比较了传统的DV-Hop算法和改进的DV-Hop算法。仿真结果表明,基于相同或不同数量的传感器节点和通信半径,该算法具有更好的定位精度。

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