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Study on Wireless Sensor Network Boundary Localization Based on RSSI

机译:基于RSSI的无线传感器网络边界定位研究

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To get the accuracy of Wireless Sensor Network boundary node localization and decrease error, this paper present an arithmetic on RSSI (Received Signal Strength Indicator) weighting circulate localization. This arithmetic is based on RSSI, combination of least squares estimate localization algorithm and weighted centroid circulation method. The algorithm firstly is introduced into threshold method for screening of anchor nodes, and then uses the least squares estimate positioning the initial value. Finally, through the weighted centroid circulation method obtain the final measurement coordinates of boundary node. Through experiment simulation, In the case of simulating the real environment, this method can reduce maximum error of the boundary node localization, accurately obtain the boundary node positioning coordinates, improve the precision of the boundary localization.
机译:为了获得无线传感器网络边界节点定位的精度并减少误差,本文提出了一种基于RSSI(加权信号指示)加权循环定位的算法。该算法基于RSSI,结合了最小二乘估计定位算法和加权质心循环方法。该算法首先被引入阈值方法中筛选锚节点,然后使用最小二乘估计法定位初始值。最后,通过加权质心循环法获得边界节点的最终测量坐标。通过实验仿真,在模拟真实环境的情况下,可以减小边界节点定位的最大误差,准确获取边界节点的定位坐标,提高边界定位的精度。

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