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A Mobile Anchor Node Positioning Algorithm for WSN in Three-dimensional Space

机译:三维空间中WSN的移动锚定节点定位算法

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In wireless sensor network, in order to effectively reduce the influence of the complex environment in node localization accuracy, based on trilateral plane positioning algorithm, this paper proposes an algorithm about the mobile anchor node and fuzzy information (Mobile Anchor Node Localization on Fuzzy Information, referred to as MANLFI) to achieve a node localization in three-dimensional space. By constantly updating the speed and position of the anchor node, we measure the direction angle and pitch angle between anchor nodes and other nodes to achieve node localization. In this paper, when nodes are located by algorithm, which will act as static anchor nodes to attach other nodes. Experiment shows that, compared with APIT-3D, the bounding cube algorithm of MANLFI improves the localization accuracy of nodes and the stability of network and with less delay.
机译:在无线传感器网络中,为了有效地降低了节点定位精度的复杂环境的影响,基于三边平面定位算法,提出了一种关于移动锚点节点和模糊信息的算法(移动锚点集成在模糊信息上的定位, 称为manlfi)以实现三维空间中的节点本地化。 通过不断更新锚节点的速度和位置,我们测量锚节点和其他节点之间的方向角度和俯仰角,以实现节点本地化。 在本文中,当节点通过算法定位时,它将充当静态锚节点以附加其他节点。 实验表明,与APIT-3D相比,Manlfi的边界立方体算法提高了节点的定位精度和网络的稳定性,延迟较少。

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