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基于RSSI测距分析 预览 被引量:236

Analysis of Distance Measurement Based on RSSI
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摘要 作为一种全新的信息获取和处理方式,无线传感器网络可以应用在广泛的领域内实现复杂的大规模监测和追踪任务,而网络自身的定位是大多数应用的基础.基于距离的定位是通过测量节点间距来实现的.利用RSSI测距只需较少的通信开销和较低的实现复杂度,这在能量有限的网络节点中是非常重要的.论文分析RSSI测距的原理,实验验证RSSI测试可重复性,在适度的动态环境中RSSI变化有规律性,采用加权和均值法消除环境因素对RSSI测量的影响.实验验证在15 m以内的测距精度可达到2 m. Wireless Sensor Networks,a novel technology about acquiring and processing information,have been proposed for a multitude of diverse applications.Range-based localization must measure distances between neighboring nodes.Received signal strength indication(RSSI),featuring low communication overhead and low complexity,is our basis of localization on the energy constrained sensor nodes.We first analyze the theory of distance measurement based on RSSI,and then validate that RSSI behavior is reproducible and suffers moderate but well-defined variations as a consequence of dynamic factors.Therefore,it can be concluded that RSSI is applicable,if we only take some measurements such as weight and mean value to eliminate the dynamic factors.The experiments show that measurement error is 2 meters within 15 meter.
作者 方震 赵湛 郭鹏 张玉国 FANG Zhen  ZHAO Zhan  GUO Peng  ZHANG Yu-guo 
出处 《传感技术学报》 CAS CSCD 北大核心 2007年第11期 2526-2530,共5页 Journal of Transduction Technology
关键词 无线传感器网络 节点定位 RSSI测距 环境因素 wireless sensor networks node localization distance measurement based on RSSI environmental factor
作者简介 方震(1976-),男,2007于中国科学院电子所物理电子学专业获博士学位,现就职于中国科学院电子所.主要研究方向无线传感器网络、集成传感器系统等,fzhen.zh@gmail.com 赵湛(1958-),男,中国科学院电子所研究员,博士,博士生导师,中国电子学会高级会员.发表论文六十余篇,近年申请了发明专利10多项.目前主要从事集成传感器、无线传感器网络等领域的研究,zhaozhan@mail.ie.ac.cn
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