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Improved localization with RSSI and DTN algorithms in wireless sensor networks
International Journal of Information Technology Pub Date : 2021-01-02 , DOI: 10.1007/s41870-020-00590-x
Venkata Reddy Adama , G. M. Asutkar

We introduce a Triangulation (DTN) algorithm that uses a WSN along with GP algorithm to enhance the accuracy of different location algorithms. The GP is used for the prediction of direction of the RSSI. The experimental results show that GP can able to predict the RSSI tendency and reduces variations of RSSI signal as the mobile user is in motion. The proposed triangulation algorithm cooperates with GP gives the lowest mean-distance error in runtime. Triangulation method proves better localization algorithm compared with other methods. Anchor nodes measures the RSSI of nearest neighbour nodes, based on RSSI values DTN method approximates the nearest neighbour nodes and DT triangles are formed.



中文翻译:

在无线传感器网络中使用RSSI和DTN算法改进了定位

我们介绍了一种三角测量(DTN)算法,该算法将WSN与GP算法一起使用,以提高不同定位算法的准确性。GP用于预测RSSI的方向。实验结果表明,当移动用户运动时,GP能够预测RSSI趋势并减少RSSI信号的变化。所提出的三角剖分算法与GP配合使用可在运行时提供最低的平均距离误差。三角剖分法证明了比其他方法更好的定位算法。锚节点测量最近邻居节点的RSSI,基于RSSI值DTN方法近似最近邻居节点并形成DT三角形。

更新日期:2021-01-03
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