一种基于RSSI的无线传感器网络的改进定位算法

在无线传感器网络的各种应用中,传感器节点必须首先知道自身的地理位置信息,才能进一步进行目标实时监测、目标跟踪等应用。目前的节点自定位算法主要分为两大类：基于距离的和与距离无关的算法。文章提出了一种基于RSSI的改进定位算法,从三角形质心定位的模型和加权质心的权重系数这两个方面分别进行了优化。最后经过Matlab仿真表明,该改进的算法比传统的RSSI算法有更小的定位误差。

An Improved Localization Algorithm Based on RSSI in Wireless Sensor Networks

In the applications of varies kinds of wireless sensor network,sensor nodes must know their location informations firstly so as to lanch further applications such as target real-time monitoring or target tracking.The current node self-localization algorithm is divided into two categories： range-based algorithm range-free algorithm.A new improved algorithm which is based on the RSSI,was proposed.It optimize these two areas： triangle centroid location model and the weight coefficients of the weighted centroid.In the end,the Matlab simulation shows that the improved algorithm has a smaller position error compared to the traditional RSSI algorithm.