一种基于RSSI向量的传感器网络定位算法

为了降低待定位节点在定位单元的边缘定位误差,设计了一种四边形区域定位算法。首先根据待定位节点在定位单元的不同位置,分别采用定位单元内部定位机制和定位单元外部定位机制,然后引入向量相近度来辅助寻找距离未知节点最近的参考样本点。试验结果表明,该算法可降低50%的定位误差,随着锚节点数的增加,定位精度逐渐增加且最终趋于稳定,解决了待定位节点的定位误差问题。

A localization algorithm based on RSSI vector for wireless sensor networks

In order to reduce the edge location error of unknown nodes in the location unit, a quadrilateral region localization algorithm was proposed. Based on the different locations of unknown nodes in the location unit, the algorithm adopted either internal or external location mechanism of the location unit. Then, the vector similarity was introduced to facilitate the search of reference sample nodes closest to unknown nodes. Experimental results demonstrated that the proposed algorithm could reduce up to 50 percent of the location error. With the number of anchor nodes increasing, the location accuracy increased, and the accuracy values tended to be stable. The algorithm could also solve the problem that the location accuracy of unknown nodes.