无线传感器网络节点近点加权质心定位方法

节点定位技术是无线传感器网络（WSNs）的基础技术，具有重要的研究意义。质心算法与基于RSSI的质心算法是目前常用的定位方法，但前者定位误差大，后者对每个信标节点进行加权定位，这在提高精度的同时也增加计算量和干扰因素（如路径衰减因子等）。基于此，提出一种利用距未知节点最近的若干个信标节点的位置修正其他信标节点的位置的近点加权质心算法，以提高初次定位的精度。进而，可以通过改变最近点、次近点、所有点位置之和三者的权值对初次定位进行校正。仿真结果表明了所提算法的有效性。

Closer nodes weighted centroid localization for wireless sensor networks

Node localization is the basis for Wireless Sensor Networks（WSNs） application. Centroid localization and RSSI-based centroid are two favorite approaches so far. However, the localization accuracy is low for the former approach; the latter is sensitive to interference factors, e. g. the signal decay exponent. The closest nodes’ location is used to correct other beacon nodes’ signal. Based on this, an improved centroid weighted localization method is proposed, which is further enhanced by modifying the weights for the closest node, second closest node and the sum of all nodes. Simulation results are included to demonstrate the effectiveness of the presented approach.