传感器网络节点定位算法在煤矿安全中的应用

Node Localization Algorithm of Wireless Sensor Networks in Coalmine Safety

研究煤矿井下安全问题,对井下人员进行定位跟踪,提高煤矿安全生产水平,应建立安全监测系统。针对煤矿井下巷道狭长,无线通信条件差,信号多径效应明显,在传统的监测中,无线传感器节点定位算法对井下环境敏感,导致节点定位误差较大。为了提高定位的精度,提出了一种基于RSSI的质心无线传感器定位算法。算法通过对无线电信号传播路径损耗模型的分析,利用锚定节点与待定位节点间的RSSI值确定质心的权值,从而提高算法对环境的适应性和定位精度。仿真结果表明,在相同的实验环境下,算法定位精度优于传统无线传感器节点定位算法,能够满足井下人员定位准确性,为煤矿安全生产监测系统设计提供了依据。

Research underground coal mine safety issues.Since the coal mine underground tunnel is long and narrow,the wireless communication condition is poor,and the signal multipath effect is obvious.,causing larger positioning errors in traditional wireless sensor nodes localization method.A nodes localization method was proposed based on the wireless sensor RSSI and centroid localization method.Radio wave propagation loss model was analyzed,the loci RSSI value between anchoring nodes and localization nodes was used to determine weights and increase the adaptability of the method to the environment and positioning accuracy.The experimental results show that the effect of proposed method is more precise than the traditional wireless sensor node location method under the same experiment environment and can meet the requirements of underground person position.