论文部分内容阅读
针对煤矿井下恶劣的自然环境,以LQI作为节点间相似性度量指标,基于Takane非度量的多维尺度(MDS)算法,实现了一种新颖的Anchor-free的无线传感器网络三阶段定位方法.该方法基于分簇区域定位和精确定位相结合的思想,将定位过程划分为区域定位、MDS度量和定位求精3个阶段,通过有效融合3种定位信息,实现对井下作业人员的精确定位.论文在防空洞模拟矿井条件下搭建了ZigBee网络进行该方法的现场实验.结果表明:非度量MDS算法的定位误差与度量MDS算法相比大大降低,使三阶段方法较好地解决了因地质结构不均匀和大量水汽存在所导致的定位误差较大的问题.
Aiming at the harsh natural environment in coal mine, a novel Anchor-free three-phase location method based on Takane non-metric multidimensional scaling (MDS) algorithm is proposed using LQI as a measure of similarity among nodes. Based on the idea of combining the clustering regional positioning and the precise positioning, the localization process is divided into three stages: regional positioning, MDS measurement and positioning refinement, and the precise positioning of downhole workers can be achieved by effectively combining the three kinds of positioning information. The experimental results show that the location error of non-metric MDS algorithm is much lower than that of MDS algorithm, which makes the three-phase method better solve the problem that the three- Large amount of water vapor caused by the existence of large positioning errors.