基于WSN的定位算法研究及改进

分析了影响CC2431定位的几个因素:RSSI波动性、障碍物影响、供电电压。对重要参数的选择进行了优化。同时针对CC2431本身定位算法的不足,提出了采用CC2431定位引擎与加权质心算法相结合的定位改进算法,并对结果进行校正。实验结果表明,改进的定位算法,有效地提高了盲节点的定位精度,达到了较好的定位效果。

Research and Improvement of Positioning Algorithm Based on WSN

The several factors that affect the CC2431 positioning are analyzed,namely RSSI volatility,obstacles,power supply voltage.The selection of important parameters are optimized.Moreover,for positioning algorithm insufficient of CC2431,the positioning algorithm is improved by using CC2431 positioning engine with the weighted centroid algorithm arithmetic,and the results are corrected.Experimental results show that the improved positioning algorithm effectively improves the positioning accuracy of the blind nodes,and achieves a better positioning effect.