基于信息熵TOP SIS法的无线传感器网络节点自定位技术

在无线传感器网络的应用中，节点的定位是一个关键的问题。但是，利用已知节点对未知节点定位的算法存在着定位精度不高，定位计算量大等缺点。针对该问题，提出了一种基于信息熵TOPSIS法的节点自定位算法，该算法利用TOPSIS法按已给的传感器属性进行排序，只取最靠前的3个节点代入标准最小二乘公式中进行计算，既缩短了计算时间，又保证了计算精度。仿真实验证明，该算法是一种有效可行的算法。

Self-localization Algorithm for Wirelesssensor Network Based on Information Entropy TOP SIS

The self?location problem is a key?problem in the application of Wireless Sensor Network(WSN). But the algo?rithms which are used in locating the unknown nodes has some problem, such as low locating precision and long calculating time. Aiming at this, this paper proposes a self?localization algorithm based on the method of information entropy Technique for Order Preference by Similarity to Ideal Solution( TOPSIS) . The algorithm uses the given attributes to collate the sensors which know their location, and the sensors which in the first three are used in LS to calculate the unknown nodes. A simula?tion shows that this method has improved the precision and calculating time,which is aneffective and practical method.