Wi-Fi-based indoor positioning for determining accurate wireless indoor location information has become crucial in meeting increasing demands for location-based services by leveraging the Internet of Things (IoT) and ubiquitous connectivity. Most Wi-Fi-based indoor positioning techniques using wireless received signal strength (RSS)-based methods are affected by the indoor environment and depend on the respective signals from at least three reference access points. In this paper, we propose a cloudlet-based cloud computing system enabling Wi-Fi indoor positioning and navigation through a Wi-Fi located on a one-hop wireless network. Our cloudlet-based cloud computing system provides the reference point data and real-time interactive response for a self-driving indoor cart. The system was tested in a real environment with the following results: (1) our system autonomously performed actions, such as turning right or left or going straight according to a movement decision algorithm and determined the position within a stable range of Wi-Fi coverage; (2) the cloudlet and core cloud can track navigation for an indoor self-driving cart; (3) the global and local positions designed for reference access points and a specific position can navigate the self-driving cart to a particular position accurately; (4) the moving edge clouds play a role in deciding three action movements (go straight, turn left, and turn right), as well as managing the local position of the items; and (5) a core cloud is deployed to store all information for the items, such as their positions and corresponding Wi-Fi locations. A core cloud manages items that have the same position (i.e., a global position) defined as the corresponding Wi-Fi location. Finally, the practical results have significance in designing a cloudlet-based cloud computing system enabling Wi-Fi indoor positioning and navigation.

中文翻译：

---

Wi-Fi室内定位和导航：基于Cloudlet的云计算方法

通过利用物联网（IoT）和无处不在的连接性，用于确定准确的无线室内位置信息的基于Wi-Fi的室内定位对于满足日益增长的基于位置的服务的需求已变得至关重要。大多数使用基于无线接收信号强度（RSS）的方法的基于Wi-Fi的室内定位技术都会受到室内环境的影响，并且取决于来自至少三个参考接入点的相应信号。在本文中，我们提出了一种基于云的云计算系统，该系统可通过位于单跳无线网络上的Wi-Fi进行Wi-Fi室内定位和导航。我们基于云的云计算系统为自动驾驶室内手推车提供参考点数据和实时交互响应。该系统在真实环境中进行了测试，结果如下：（1）我们的系统根据运动决策算法自主执行动作，例如向右转，向左转或向直线走，并在Wi-Fi覆盖范围的稳定范围内确定位置；（2）小云和核心云可以跟踪室内自动驾驶推车的导航；（3）为参考访问点设计的全局和局部位置以及特定位置可以使自动驾驶小车准确地导航到特定位置；（4）移动边缘云在确定三个动作（直行，左转和右转）以及管理项目的局部位置方面起作用；（5）部署了一个核心云来存储项目的所有信息，例如它们的位置和相应的Wi-Fi位置。核心云管理位置相同的项目（即，全球位置）定义为相应的Wi-Fi位置。最后，实际结果对设计基于Wi-Fi室内定位和导航的基于Cloudlet的云计算系统具有重要意义。