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基于RSSI和LNSM的ZigBee网络距离估计研究

Research on ZigBee Network Distance Estimation Based on RSSI and LNSM
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摘要 在ZigBee无线传感器网络中,是通过点对点方式测量移动节点与协调节点之间距离的,即根据协调节点所测得的移动节点接收的信号强度指标(RSSI)来确定距离。针对室外条件推导出了对数正态阴影模型(LNSM)并且估计了传播通道的标准差和路径损耗指数等参数。对室外环境对距离在1~100 m范围的RSSI进行了测量和分析,测量结果表明:在0~65 m和0~100 m范围内,平均绝对误差(MAE)分别为3.44和6.72,即LNSM仅适用于短距离通信。 In the ZigBee wireless sensor network,the distance between the mobile node and the coordinating node is measured in a point-to-point manner,that is,the distance is determined according to the mobile node RSSI measured by the coordinating node.The lognormal shadow model(LNSM)was derived for outdoor conditions,and parameters such as the standard deviation of the propagation channel and the path loss index were estimated.The RSSI in the range of 1~100 m in the outdoor environment was measured and analyzed.The measurement results show that the mean absolute error(MAE)is 3.44 and 6.72 respectively in the range of 0~65 m and 0~100 m,that is,LNSM is only suitable for short distance communication.
作者 吴志森 吕晓磊 WU Zhisen;LYU Xiaolei(School of Mechanics and Engineering,Southwest Jiaotong University,Chengdu 610031,China)
出处 《新乡学院学报》 2020年第3期27-31,共5页 Journal of Xinxiang University
基金 福建省中青年教师教育科研项目(JZ180944)。
关键词 距离估计 对数正态阴影模型 RSSI WSN ZIGBEE distance estimation lognormal shadow model RSSI WSN ZigBee
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