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。
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.
出处
《计算机与现代化》
2010年第10期158-160,169,共4页
Computer and Modernization
