江西理工大学 机构 信息工程学院,江西,赣州,341000
Published:2014
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吴君钦, 卢陶. 基于RSSI测距的无线传感器网络定位算法[J]. 微电子学与计算机, 2014, 31(5): 49-52,57.
WU Jun-qin, LU Tao. Localization Algorithm for Wireless Sensor Networks Based on RSSI[J]. 2014, 31(5): 49-52.
吴君钦, 卢陶. 基于RSSI测距的无线传感器网络定位算法[J]. 微电子学与计算机, 2014, 31(5): 49-52,57. DOI:
WU Jun-qin, LU Tao. Localization Algorithm for Wireless Sensor Networks Based on RSSI[J]. 2014, 31(5): 49-52. DOI:
提出了一种采用最小二乘法对环境参数进行拟合的方法,获得损耗模型,同时对所测得的RSSI数据进行高斯处理并优选信标节点,最后对目标节点采用改进后的三边测量定位算法进行节点定位.实验结果表明,本算法定位受环境因素影响减小,比传统RSSI定位算法精度更高,可应用于无线传感器网络中.
We propose a least square method to obtain environmental parameters and choose appropriate Gauss model for processing the measured RSSI data
then using the improved trilateration localization algorithm to locate the target node
Experimental results show that the algorithm reduces positioning influenced by environmental factors
while have higher accurcy than traditional RSSI location algorithm
can be widely used ZigBee positioning system.
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