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A New Distance Vector-Hop Localization Algorithm Based on Half-Measure Weighted Centroid

机译:基于半测量加权质心的新距离矢量跳定位算法

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Considering the defects of the Distance Vector-Hop (DV-Hop) localization algorithm making errors and having error accumulation in wireless sensor network (WSN), we proposed a new DV-Hop localization algorithm based on half-measure weighted centroid. This algorithm followed the two-dimensional position distribution, designed the minimum communication radius, and formed a reasonable network connectivity firstly. Then, the algorithm corrected the distance between the beacon node and its neighbour node to form a more accurate jump distance so that the shortest path can be optimized. Finally, we theorized the proposed localization algorithm and verified it in simulation experiments, including same communication radius, different communication radii, and different node densities in same communication radius, and have compared the localization error and localization accuracy, respectively, between the proposed algorithm and the DV-Hop localization algorithm. The experiment’s result shows that the proposed localization algorithm have reduced the localization’s average error and improved the localization’s accuracy.
机译:考虑到距离矢量跳(DV-Hop)定位算法的缺陷使得在无线传感器网络(WSN)中具有误差累积,我们提出了一种基于半测量加权质心的新的DV跳定位算法。该算法跟随二维位置分布,设计最小通信半径,并首先形成合理的网络连接。然后,该算法校正信标节点与其邻居节点之间的距离以形成更准确的跳跃距离,以便可以优化最短路径。最后,我们理论提出了所提出的本地化算法,并在模拟实验中验证,包括相同的通信半径,不同的通信半径和不同通信半径的不同节点密度,并且在所提出的算法之间分别比较了定位误差和定位精度。 DV-Hop定位算法。实验结果表明,所提出的本地化算法降低了本地化的平均误差并提高了本地化的准确性。

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