RSSI-神经网络在无线传感网络定位中的应用

在传统RSSI(接收信号强度)定位方法中,由于RSSI值对于不同的环境适应能力比较差,测量距离往往存在误差,这就直接影响了无线传感网络定位的精度。针对这种不足,提出了一种RSSI-神经网络定位方法,即前期建立起未知节点的RS-SI值与坐标的映射关系,后期用神经网络进行定位。从而减小了不同环境对RSSI的影响,使该算法具有一定的鲁棒性。通过实验证明,该算法较传统的RSSI定位方法,在定位精度上有一定的提高。

Applications of RSSI-neural network in wireless sensor network positioning

because of the poor ability of different environmental adaptation,the measurement distance exist errors in traditional RSSI (received signal strength) positioning method,which directly affect the positioning accuracy of the wireless sensor network. for the defect, a RSSI-based neural network positioning method is proposed . Building the mapping relations of the unknown node RSSI value and coordinate, then locating with neural networks. the method reduces influence of different environments for RSSI,which makes the algorithm have a certain robustness. The experimental results show that compared with the traditional RSSI localization method,this algorithm has definitely improved. in positioning accuracy.