Military Technical Academy 'Ferdinand I', Bucharest 050141, Romania.
Sensors (Basel). 2020 Jan 12;20(2):427. doi: 10.3390/s20020427.
Wi-Fi fingerprinting positioning systems have been deployed for a long time in location-based services for indoor environments. Combining mobile crowdsensing and Wi-Fi fingerprinting systems could reduce the high cost of collecting the necessary data, enabling the deployment of the resulting system for outdoor positioning in areas with dense Wi-Fi coverage. In this paper, we present the results attained in the design and evaluation of an urban fingerprinting positioning system based on crowdsensed Wi-Fi measurements. We first assess the quality of the collected measurements, highlighting the influence of received signal strength on data collection. We then evaluate the proposed system by comparing the influence of the crowdsensed fingerprints on the overall positioning accuracy for different scenarios. This evaluation helps gain valuable insight into the design and deployment of urban Wi-Fi positioning systems while also allowing the proposed system to match GPS-like accuracy in similar conditions.
Wi-Fi 指纹定位系统已经在室内环境的基于位置的服务中得到了长期的部署。将移动众包和 Wi-Fi 指纹系统相结合，可以降低收集必要数据的高成本，从而使该系统能够在具有密集 Wi-Fi 覆盖的区域中用于室外定位。在本文中，我们介绍了基于众包 Wi-Fi 测量设计和评估城市指纹定位系统所取得的成果。我们首先评估了所收集测量数据的质量，突出了接收信号强度对数据收集的影响。然后，我们通过比较不同场景下众包指纹对整体定位精度的影响来评估所提出的系统。这种评估有助于深入了解城市 Wi-Fi 定位系统的设计和部署，同时使所提出的系统在类似条件下能够达到类似于 GPS 的精度。
