无线传感器网络煤矿井下RSSI自适应定位算法

发布时间：2018-07-03 07:54

本文选题：信号传输模型 + 路径衰减指数　；参考：《传感器与微系统》2014年06期

【摘要】：通过对无线信号传播模型进行有效分析,发现路径衰减指数取值的固定性是导致测距误差的主要原因之一。在传统接收信号强度指示(RSSI)定位算法基础上,结合煤矿井下巷道环境特征,提出一种自适应RSSI三角质心定位算法,算法通过动态计算信标节点到盲节点的路径损耗指数,从而提高了测距算法对环境的适应性,算法结合巷道环境特征和信标节点到盲节点的距离公式,对两圆相交的情况进行讨论,最终计算出盲节点的有效坐标。仿真实验表明:巷道宽度在一定范围内(5~15 m),定位误差平均值均小于0.5 m,定位误差小于1 m的概率均高达90%以上,具有较高的定位精度。
[Abstract]:Through the analysis of the wireless signal propagation model, it is found that the immobility of path attenuation index is one of the main causes of ranging error. Based on the traditional received signal intensity indication (RSSI) localization algorithm, an adaptive RSSI triangular centroid location algorithm is proposed, which dynamically calculates the path loss index from beacon node to blind node. Therefore, the adaptability of the ranging algorithm to the environment is improved. Based on the laneway environmental characteristics and the distance formula between beacon nodes and blind nodes, the intersection of two circles is discussed, and the effective coordinates of blind nodes are calculated. The simulation results show that the average positioning error of 515 m), is less than 0. 5 m, and the probability of positioning error less than 1 m is above 90%, which has a high positioning accuracy.
【作者单位】：江西师范大学计算机信息工程学院;
【基金】：国家自然科学基金资助项目(41164001) 国际科技合作专项资助项目(35—14)
【分类号】：TP212.9;TN929.5

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