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Filter Anchor Node Localization Algorithm Based on Rssi for Underground Mine Wireless Sensor Networks

机译:矿井无线传感器网络中基于Rssi的滤波锚节点定位算法

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To improve the localization accuracy of wireless sensor networks (WSNs) node for underground tunnel monitoring, we propose a method to improve the localization accuracy of Received Signal Strength Indication by using the anchor node selection mechanism, which is based on the three-dimensional space characteristics of the mine and the choice of the wireless communication frequency. Firstly, we sort the anchor nodes RSSI value received from the node to be located from high to low. Secondly, we select four anchor nodes with higher RSSI values by Gaussian elimination method. Simulation results show that the proposed algorithm has greatly improved the localization accuracy, compared with the traditional RSSI ranging localization algorithm without the selections of the anchor nodes.
机译:为了提高地下隧道监测的无线传感器网络(WSNS)节点的定位精度,我们提出了一种通过使用锚点选择机制来提高接收信号强度指示的定位精度,这是基于三维空间特性矿井和无线通信频率的选择。首先,我们对从节点接收的锚点RSSI值进行排序,以便从高到低电平。其次,通过高斯消除方法选择具有更高RSSI值的四个锚点节点。仿真结果表明,该算法大大提高了本地化准确性,与传统的RSSI测距定位算法相比,没有锚点节点的选择。

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