基于矿井三维WSNs多重覆盖和RSSI的加权质心算法

Weighted centroid algorithm for WSNs based on multiple coverage under three-dimensional modeling of mine and RSSI

针对无线传感器网络(WSNs)的矿井灾害无线监测信息系统,提出一种基于矿井三维建模WSNs多重覆盖和RSSI的加权质心定位算法。根据矿井巷道的几何结构特征,将矿井建模成规则的拱型模型。介绍了一种矿井巷道固定节点无缝覆盖部署模型,并运用几何学求出了满足多重覆盖要求时的节点部署间距。在此基础上,提出了一种基于RSSI比值的加权质心定位算法,利用节点RSSI值求出加权系数,再对质心坐标进行加权处理。仿真实验表明:改进的质心算法有效地减少了定位误差,定位精度优于原算法。

A weighted centroid location algorithm based on multiple coverage under three-dimensional modeling of mine and RSSI is proposed for underground mine disaster monitoring system which based on WSNs. Model underground tunnel as an arched shape according to geometric structure property of mine channel. A deployment model for seamless coverage of fixed node is presented,meanwhile,distance of node deployment to meet requirement of nodes multiple coverage is further figured out. Besides,a weighted centroid location algorithm based on RSSI ratio is presented and use RSSI value to address weighting factor and weighting centroid coordinates.Simulation show that the improved centroid algorithm reduces positioning error and achieves better positioning precision.