山体滑坡监测的RSSI定位改进算法

针对现有山体滑坡监测技术自动化程度低、系统成本高、实施难度大等问题，将RSSI定位技术用于山体滑坡监测，提供无需任何一次检测仪表的山体滑坡监测新方法。提出的RSSI定位改进算法引入加权调整因子，通过动态获取路径损耗模型参数和实时计算WSN节点间通信距离，可降低外部环境变化对定位精度的影响，从而提高山体滑坡定位精度。使用MATLAB对改进算法进行的模拟测试结果表明，与传统RSSI固定路径损耗模型定位算法相比，平均误差显著下降。

An improved localization algorithm based on RSSI for landslide monitoring

In order to overcome the existing problems of low automation, high cost and difficult to implement in the area of landslide monitoring, this paper presents a new method of RSSI (Received Signal Strength Indicator)based positioning technology without any one-off instruments to monitor landslide surface displacement. By adding weighted factors, the improved positioning algorithm can estimate the parameters of the path loss model dynamically and calculates the communication distance of network nodes in real-time, which can improve positioning precision and reduce the impact of environmental changes on it. The MATLAB experiments show that, compared with the traditional RSSI based localization algorithm using fixed pass loss model, the improved algorithm could significantly reduce the average error.