| 基于RSS场景指纹的ZigBee无线传感器网的定位方法 |
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| 引用本文： | 杨文姬,王命延,苏武.基于RSS场景指纹的ZigBee无线传感器网的定位方法[J].计算机与现代化,2010(10):158-160,169. |
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| 作者姓名： | 杨文姬 王命延 苏武 |
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| 作者单位： | 1. 江西农业大学软件学院,江西,南昌,330045
2. 南昌大学计算中心,江西,南昌,330031 |
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| 摘 要： | 分析Z igBee无线传感器网络的基于信号强度测距法（RSSI）及场景指纹法,提出RSS场景指纹定位方法,该方法融合了上述两种定位方法的特点,即采用RSS＂场景特征信息＂作为定位场景＂指纹信息＂,以此建立＂指纹信息＂数据库,最后用最近邻居匹配算法实现定位。通过应用表明,RSS场景指纹定位方法具有定位精度高、自适应性及容错性强,且满足低成本、低功耗及易于实现的特点。
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| 关 键 词： | ZigBee技术 无线定位 RSS 场景指纹 |
Location Estimation Based on Scene Fingerprinting with Received Signal Strength in ZigBee Network |
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| YANG Wen-ji,WANG Ming-yan,SU Wu.Location Estimation Based on Scene Fingerprinting with Received Signal Strength in ZigBee Network[J].Computer and Modernization,2010(10):158-160,169. |
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| Authors: | YANG Wen-ji WANG Ming-yan SU Wu |
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| Affiliation: | 1.Software College of Jiangxi Agricultural University,Nanchang 330045,China;2.Computer Centre of Nanchang University,Nanchang 330031,China) |
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| Abstract: | Firstly,the paper presents some location methods based on the received signal strength identification（RSSI） and scene fingerprinting in ZigBee network.Secondly,the article proposes a location method-RSS scene fingerprint location which integrates the two positioning methods above.The method uses received signal strength identification as fingerprinting to establish fingerprint database,and then to determine the mobile station＇s location with KNN matching algorithm.The experiment results demonstrate the validity of location estimation,with high precision,strong adaptability and fault tolerance,which has the characteristic of low-cost,low power consumption and easy to implementation. |
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| Keywords: | RSS |
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