基于射频识别和无线传感网融合技术的仓储定位方法研究

针对射频识别在大规模仓储定位环境下节点数量要求过高，有效覆盖面积较小问题，提出一种基于移动锚节点的二次定位方法。传统质心算法必须在节点的3度覆盖下才能有效定位，造成节点浪费。综合射频识别和无线传感网融合技术，构造一种新的锚节点，将传统定位过程中的节点划分为固定锚和移动锚，首先利用固定锚进行初步定位获得未知标签位置范围，然后利用定位向量判定移动锚的停止位置。最后，采用基于信号强度的加权质心定位算法，进行二次精确定位。仿真结果表明，该方法能有效减少锚节点数量，弥补射频信号覆盖不完全区域的定位，提高定位精度和覆盖范围，具有一定的实际应用价值。

Research on warehouse localization method based on integration of RFID and WSN

For the large number of nodes and the small effective coverage area in radio frequency identification (RFID) localization in large scale storage location environment. A twice localization algorithm based on the mobile anchor node is proposed. Traditional centroid algorithm can only effectively locate the nodes with 3-degree coverage, resulting in the waste of nodes. Integrated a fusion of RFID and wireless sensor network (WSN) technology, this paper constructed a new anchor node. It divided the anchor node in the traditional positioning process into fixed ones and mobile ones. Firstly, it used the fixed anchor node to locate an initial position. Then used the localization vector to determine the stop position of the mobile anchor node. Finally, it used a weighted centroid localization algorithm based on signal strength for the secondary accurate localization. Simulation experiments show that the proposed method can effectively reduce the number of anchor nodes, and make up the localization effect of the incomplete area of the RF signal coverage, and improve the localization accuracy and coverage and certain actual application value.