定位器:定位无源RFID标签与相对邻域图

Yiyang Zhao, S. Cheung, L. Ni
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引用次数: 7

摘要

无源标签广泛应用于供应链、食品工业和仓库管理等领域。在这种应用中,标签的位置信息是非常重要的。然而,接收信号强度指标(RSSI)的不确定特性、不同功率水平下的各种后向散射事件以及阅读器的方向性使传统的基于测距的方法无法在无源RFID系统中很好地工作。根据我们在实验中的观察,我们创建了一种新的方法来定位对象中的特定标签。虽然绝对位置很难获得,但我们可以通过建立标签之间的相对关系来估计位置。为了减少上述限制的影响,我们提出了一种名为LocaToR的无距离方法来建立相对邻域图。我们在一个真实的被动系统上实现了我们的方法。考虑到环境因素,我们考虑了两种情况:受控室和半开放空间。实验结果表明,该方法可以明显提高定位系统的精度,节省读者的精力。
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LocaToR: Locating Passive RFID Tags with the Relative Neighborhood Graph
Passive tags are widely used in many applications, for example, the supply chain, the food industry and ware-house management. In such applications, the location information of tags is very important. However, the uncertain proper-ties of Received Signal Strength Indicators (RSSI), various backscattering events on different power levels and the directivity of readers prevent traditional ranging-based approaches working well in passive RFID systems. In accordance with our observations during experiments, we create a novel approach to locate a specific tag among objects. Although absolute positions are difficult to obtain, we can estimate locations by building a relative relationship between tags. To reduce the effect of the above limitations, we propose a range-free approach named LocaToR to establish a relative neighborhood graph. We implement our method on a real passive system. Taking environmental factors into consideration, we look at two situations: a controlled chamber and a semi-open space. Experimental results show that our approach can obviously improve the accuracy of the localization system as well as save readers' energy.
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