WSNs中基于RSSI优化的节点定位算法研究

为了提高基于接收信号强度(RSSI)定位算法的定位精度，提出基于RSSI改进的混合蛙跳的定位算法(MRSSI-SFL)。MRSSI-SFL算法用正态分布优化RSSI值，降低测距精度。再利用加权质心定位算法进行粗略定位，并依此估计设置搜索区域，随后利用蛙跳算法进行迭代求精。实验结果表明，相比基于RSSI测距的加权质心定位算法，提出的MRSSI-SFL定位算法有效地提高了定位精度。

Modifying RSSI Ranging-Based Localization Algorithm in Wireless Sensor Networks

In order to reduce ranging error of received signal strength indication,modifying RSSI ranging-based shuffled frog leaping localization algorithm (MRSSI-SFL) is proposed.MRSSI-SFL optimizes the RSSI value and improves the ranging accuracy.Then,rough positioning is realized by using weighted centroid algorithm,and the search area is set by the position point.The positioning accuracy are achieved iteratively by SFL.Simulation experiments show that the proposed MRSSI-SFL outperforms than centroid localization algorithm based on RSSI in term of localization accuracy.