矿井巷道无线传感器网络移动节点定位方法的研究

发布时间：2018-06-21 03:39

本文选题：RSSI节点定位 + 高斯消去法　；参考：《江西理工大学》2017年硕士论文

【摘要】：井下巷道纵横交错,电磁波信号在其中传播存在很严重的干扰,致使矿井内目标精确定位困难。而矿井中无线传感器节点的精确定位是关键问题之一,尤其是巷道遭遇灾难时是紧急救援和事故处理的重要依据。目前矿井中传感器节点定位算法存在易受环境干扰、定位目标移动等问题。这已成为井下目标高精度定位的瓶颈。因此,提高无线传感器网络中传感器节点定位精度对矿井作业安全保障有重大意义。对于矿井中固定节点的定位,本文分析了用于定位的锚节点与锚节点之间的几何位置关系如何影响基于RSSI节点定位算法的定位精度。本文结合井下隧道空间模型和节点分布模型,并选择适合于井下通信的无线通信频率的基础上,提出了基于高斯消去法筛选锚节点机制的RSSI固定节点定位算法。该固定节点定位算法有效避免了利用最小二乘法估计未知节点位置时因锚节点相互之间位置、距离关系及估计误差引起的定位误差。提高了固定节点的定位精度。对于矿井中移动节点的定位,本文分析了井下巷道的宽度、移动节点的偏移角度、偏移角度预测误差和最小二乘法退化状态对自适应移动节点定位算法定位精度的影响。根据由历史节点得到的移动节点的运动方向自动调整下一时刻移动节点运动方向,提出了基于角度自适应的移动节点算法,该算法基于角度自调整方法和锚节点筛选机制。提高了移动节点定位精度。实验结果表明,本文算法相比自适应移动节点定位算法定位精度有较大提高,减少了误差率,算法定位误差范围达到了米级,适合于无线传感器网络节点井下定位。
[Abstract]:There is serious interference in the propagation of electromagnetic wave signal in mine roadway, which makes it difficult to locate the target accurately. The precise location of wireless sensor nodes in mine is one of the key problems, especially when the roadway is in disaster, it is an important basis for emergency rescue and accident handling. At present, the sensor node localization algorithm in mine is vulnerable to environmental interference and target location. This has become the bottleneck of high precision positioning of underground targets. Therefore, it is of great significance to improve the positioning accuracy of sensor nodes in wireless sensor networks. For fixed node location in mine, this paper analyzes how the geometric position relationship between anchor node and anchor node affects the positioning accuracy based on RSSI node localization algorithm. Based on the spatial model and node distribution model of underground tunnel and the selection of wireless communication frequency suitable for underground communication, this paper proposes a fixed node location algorithm based on Gao Si elimination method to filter anchor nodes. The fixed node location algorithm effectively avoids the location error caused by the location, distance relationship and estimation error of the anchor nodes when the least square method is used to estimate the unknown node position. The positioning accuracy of fixed node is improved. For the location of moving nodes in mine, the influence of the width of roadway, the offset angle of moving node, the prediction error of migration angle and the degradation state of least square method on the localization accuracy of adaptive mobile node localization algorithm are analyzed in this paper. According to the motion direction of the moving node which is obtained from the historical node, an angle adaptive mobile node algorithm is proposed, which is based on the angle self-adjusting method and the anchor node screening mechanism. The positioning accuracy of mobile nodes is improved. The experimental results show that the proposed algorithm is more accurate than the adaptive mobile node location algorithm and reduces the error rate. The error range of the algorithm reaches the meter level and is suitable for underground location of nodes in wireless sensor networks.
【学位授予单位】：江西理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP212.9;TN929.5

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