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首页> 外文期刊>Internet of Things Journal, IEEE >A Pervasive Integration Platform of Low-Cost MEMS Sensors and Wireless Signals for Indoor Localization
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A Pervasive Integration Platform of Low-Cost MEMS Sensors and Wireless Signals for Indoor Localization

机译：用于室内定位的低成本MEMS传感器和无线信号的普遍集成平台

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摘要

Location service is fundamental to many Internet of Things applications such as smart home, wearables, smart city, and connected health. With existing infrastructures, wireless positioning is widely used to provide the location service. However, wireless positioning has the limitations such as highly depending on the distribution of access points (APs); providing a low sample-rate and noisy solution; requiring extensive labor costs to build databases; and having unstable RSS values in indoor environments. To reduce these limitations, this paper proposes an innovative integrated platform for indoor localization by integrating low-cost microelectromechanical systems (MEMS) sensors and wireless signals. This proposed platform consists of wireless AP localization engine and sensor fusion engine, which is suitable for both dense and sparse deployments of wireless APs. The proposed platform can automatically generate wireless databases for positioning, and provide a positioning solution even in the area with only one observed wireless AP, where the traditional trilateration method cannot work. This integration platform can integrate different kinds of wireless APs together for indoor localization (e.g., WiFi, Bluetooth low energy, and radio frequency identification). The platform fuses all of these wireless distances with low-cost MEMS sensors to provide a robust localization solution. A multilevel quality control mechanism is utilized to remove noisy RSS measurements from wireless APs and to further improve the localization accuracy. Preliminary experiments show the proposed integration platform can achieve the average accuracy of 3.30 m with the sparse deployment of wireless APs (1 AP per 800 m(2)).
机译：定位服务是许多物联网应用程序（如智能家居，可穿戴设备，智能城市和互联健康）的基础。在现有的基础架构中，无线定位广泛用于提供定位服务。但是，无线定位具有局限性，例如高度依赖于接入点（AP）的分布。提供低采样率和嘈杂的解决方案；建立数据库需要大量的人工成本；并且在室内环境中具有不稳定的RSS值。为了减少这些限制，本文提出了一种通过集成低成本微机电系统（MEMS）传感器和无线信号进行室内定位的创新集成平台。该提议的平台由无线AP定位引擎和传感器融合引擎组成，适用于无线AP的密集部署和稀疏部署。提出的平台可以自动生成用于定位的无线数据库，即使在只有一个观测到的无线AP的区域（传统的三边测量方法无法使用）的区域中，也可以提供定位解决方案。该集成平台可以将不同种类的无线AP集成在一起以进行室内定位（例如，WiFi，低功耗蓝牙和射频识别）。该平台将所有这些无线距离与低成本MEMS传感器融合在一起，以提供强大的定位解决方案。利用多级质量控制机制从无线AP中消除嘈杂的RSS测量，并进一步提高定位精度。初步实验表明，在无线AP稀疏部署（每800 m（2）1个AP）的情况下，所提出的集成平台可以达到3.30 m的平均精度。

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