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I Am the Antenna: Accurate Outdoor AP Location using Smartphones

机译:我是天线:使用智能手机的准确室外AP位置

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摘要

Today's WiFi access points (APs) are ubiquitous, and provide critical connectivity for a wide range of mobile networking devices. Many management tasks, e.g. optimizing AP placement and detecting rogue APs, require a user to efii-ciently determine the location of wireless APs. Unlike prior localization techniques that require either specialized equipment or extensive outdoor measurements, we propose a way to locate APs in real-time using commodity smartphones. Our insight is that by rotating a wireless receiver (smart-phone) around a signal-blocking obstacle (the user's body), we can effectively emulate the sensitivity and functionality of a directional antenna. Our measurements show that we can detect these signal strength artifacts on multiple smart-phone platforms for a variety of outdoor environments. We develop a model for detecting signal dips caused by blocking obstacles, and use it to produce a directional analysis technique that accurately predicts the direction of the AP, along with an associated confidence value. The result is Borealis, a system that provides accurate directional guidance and leads users to a desired AP after a few measurements. Detailed measurements show that Borealis is significantly more accurate than other real-time localization systems, and is nearly as accurate as offline approaches using extensive wireless measurements.
机译:当今的WiFi接入点(AP)随处可见,并且为各种移动网络设备提供了关键的连接。许多管理任务,例如要优化AP的位置并检测恶意AP,需要用户有效地确定无线AP的位置。与先前的需要专门设备或大量室外测量的本地化技术不同,我们提出了一种使用商用智能手机实时定位AP的方法。我们的见解是,通过围绕信号阻挡障碍物(用户的身体)旋转无线接收器(智能手机),我们可以有效地模拟定向天线的灵敏度和功能。我们的测量表明,我们可以在多种智能手机平台上针对各种室外环境检测这些信号强度伪像。我们开发了一种用于检测由障碍物引起的信号骤降的模型,并将其用于产生方向分析技术,该技术可以准确预测AP的方向以及相关的置信度值。结果就是Borealis,该系统可提供准确的方向指导,并在几次测量后将用户引导至所需的AP。详细的测量结果表明,北欧化工比其他实时定位系统准确得多,并且几乎与使用大量无线测量的离线方法一样准确。

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