无线传感器网络 RSSI定位算法改进

摘要

为了解决传统的基于接收信号强度指示（ RSSI）的节点定位算法定位误差较大的问题，从两个方面对其进行改进：距离估计中采用加权平均法校正了节点间的实际距离；位置估计中采用最小二乘（ LS）估计和岭-压缩（ CRS）估计相结合的方法校正了待测节点的实际位置。通过与传统的RSSI定位算法及差圆定位算法比较，仿真验证了改进后的定位算法可有效地提高节点定位的准确性和稳定性。%For solving the poor locating performance of the node localisation algorithm based on received signal strength indicator (RSSI), the improvements from two aspects have been applied .Firstly, the actual distances between nodes are refined by the means of weighted average method.Secondly, the actual positions of the nodes to be detected are regulated by the combined methods of least squares (LS) estimator and ridge with shrunken ( CRS) estimator.Through the comparison with traditional RSSI-based localisation algorithm and different circularity localisation algorithm , the simulation result shows that the improved localisation algorithm can improve the precision and stability of node location effectively .