Hernández Olcina Jorge, Anquela Julián Ana B, Martín Furones Ángel E
Department of Cartographic Engineering, Geodesy and Photogrammetry, Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain.
Sci Rep. 2024 Jun 25;14(1):14668. doi: 10.1038/s41598-024-65652-7.
A growing dependence on real-time positioning apps for navigation, safety, and location-based services necessitates a deep understanding of latency challenges within cloud-based Global Navigation Satellite System (GNSS) solutions. This study analyses a GNSS real-time positioning app on smartphones that utilizes cloud computing for positioning data delivery. The study investigates and quantifies diverse latency contributors throughout the system architecture, including GNSS signal acquisition, data transmission, cloud processing, and result dissemination. Controlled experiments and real-world scenarios are employed to assess the influence of network conditions, device capabilities, and cloud server load on overall positioning latency. Findings highlight system bottlenecks and their relative contributions to latency. Additionally, practical recommendations are presented for developers and cloud service providers to mitigate these challenges and guarantee an optimal user experience for real-time positioning applications. This study not only elucidates the complex interplay of factors affecting GNSS app latency, but also paves the way for future advancements in cloud-based positioning solutions, ensuring the accuracy and timeliness critical for safety-critical and emerging applications.
对用于导航、安全和基于位置服务的实时定位应用程序的依赖日益增加，这就需要深入了解基于云的全球导航卫星系统（GNSS）解决方案中的延迟挑战。本研究分析了一款智能手机上的GNSS实时定位应用程序，该应用程序利用云计算进行定位数据传输。该研究调查并量化了整个系统架构中各种延迟因素，包括GNSS信号采集、数据传输、云处理和结果传播。通过控制实验和实际场景来评估网络条件、设备能力和云服务器负载对整体定位延迟的影响。研究结果突出了系统瓶颈及其对延迟的相对贡献。此外，还为开发人员和云服务提供商提出了实用建议，以缓解这些挑战，并确保实时定位应用程序的最佳用户体验。本研究不仅阐明了影响GNSS应用程序延迟的各种因素之间的复杂相互作用，还为基于云的定位解决方案的未来发展铺平了道路，确保了对安全关键型和新兴应用至关重要的准确性和及时性。
