基于WSN的加权组合三边气体源定位算法研究

Study of the plume source localization weighted combination trilateration based on WSN

依据气体污染源浓度衰减模型,采用加权组合三边算法(WCT)对气体污染源定位进行了研究。通过仿真实验对比了在不同传感器节点间距离以及背景噪声情况下加权组合三边算法、直接三边法(DT)和组合三边算法(CT)对预估定位误差的影响。实验结果表明,在背景噪声较小的情况下,采用这三种定位算法都有着较好的定位效果;而在背景噪声较大时,采用加权组合三边法有着更好的定位效果。

Based on the concentration attenuation model of plume source, studied the location of the plume source by weighted combination trilateration. The effects of the three algorithms on the location estimation errors under different sensor distance and different background noise conditions are studied through simulation. Simulation results show that the three algorithms are all effective when the background noise is less. Compared with DT and CT algorithms, WCT algorithm is more robust to stronger background noise, and can get better accuracy in plume source localization.