基于RSSI的无线传感器网络质心定位算法优化

为了提高无线传感器网络定位精度的准确性, 对质心定位算法进行优化. 在测距阶段, 采用均值滤波和中值滤波相结合的方式对RSSI值进行预处理; 在定位阶段, 使用距离倒数的指数幂对质心加权; 同时引入迭代的思想, 解决了定位中锚节点密度不高的情况下, 节点无法定位的问题. 实验结果表明, 本文改进的算法与质心定位算法和距离加权的质心定位算法相比, 能够有效地提高无线传感器网络的定位精度.

Optimization of Centroid Localization Algorithm for Wireless Sensor Networks Based on RSSI

To improve the localization accuracy of wireless sensor networks, this study optimizes the centroid localization algorithm. In the ranging stage, received signal strength indicator (RSSI) values are preprocessed by both mean filtering and median filtering. In the localization stage, the centroid is weighted by the exponential power of the inverse distance. Furthermore, the idea of iteration is introduced to solve the problem that the nodes cannot be localized when the density of anchor nodes is low. The experimental results indicate that compared with the centroid localization algorithm and the distance-weighted centroid localization algorithm, the proposed modified algorithm can effectively improve the localization accuracy of wireless sensor networks.