摘要：

在研究接收信号强度指示(RSSI)定位和支持向量机分类(SVC)的基础上，提出无线传感器网络(WSN)节点定位算法。将WSN室内定位问题看作以节点RSSI值为特征量的多分类问题，将节点RSSI值转化为节点位置，利用SVC良好的泛化能力，实现符号定位和物理定位，达到较高的定位精度。实验结果表明，该算法的符号定位效果较好，当锚节点密度为20%时，可使98.19%的节点正确定位。

关键词: 无线传感器网络, 符号定位, 物理定位, 支持向量机分类, 接收信号强度指示

Abstract:

This paper proposes a Wireless Sensor Network(WSN) node positioning algorithm based on studying Received Signal Strength Indicator(RSSI) and Support Vector Classification(SVC). It considers node RSSI value as a multi-classification problem of characteristic quantity, converts RSSI into node position directly by SVC which has good generalization ability to realize symbolic positioning and physical positioning, and achieves a higher positioning accuracy. Experimental results show that the symbolic positioning effect of the algorithm is good, when the anchor node density is 20%, 98.19% of the nodes can get correct position.

Key words: Wireless Sensor Network(WSN), symbolic positioning, physical positioning, Support Vector Classification(SVC), Received Signal Strength Indicator(RSSI)

中图分类号: 

• TP212

• TP393