دورية أكاديمية

Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review.

التفاصيل البيبلوغرافية
العنوان: Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review.
المؤلفون: Quezada-Gaibor, Darwin1,2 (AUTHOR) huerta@uji.es, Torres-Sospedra, Joaquín3 (AUTHOR) quezada@uji.es, Nurmi, Jari2 (AUTHOR) evgeny.kucheryavy@tuni.fi, Koucheryavy, Yevgeni2 (AUTHOR), Huerta, Joaquín1 (AUTHOR)
المصدر: Sensors (14248220). Jan2022, Vol. 22 Issue 1, p110-110. 1p.
مصطلحات موضوعية: *CLOUD computing, *LOCATION-based services, *CLOUD storage, *FAULT-tolerant computing, *COMPUTING platforms
مستخلص: Cloud Computing and Cloud Platforms have become an essential resource for businesses, due to their advanced capabilities, performance, and functionalities. Data redundancy, scalability, and security, are among the key features offered by cloud platforms. Location-Based Services (LBS) often exploit cloud platforms to host positioning and localisation systems. This paper introduces a systematic review of current positioning platforms for GNSS-denied scenarios. We have undertaken a comprehensive analysis of each component of the positioning and localisation systems, including techniques, protocols, standards, and cloud services used in the state-of-the-art deployments. Furthermore, this paper identifies the limitations of existing solutions, outlining shortcomings in areas that are rarely subjected to scrutiny in existing reviews of indoor positioning, such as computing paradigms, privacy, and fault tolerance. We then examine contributions in the areas of efficient computation, interoperability, positioning, and localisation. Finally, we provide a brief discussion concerning the challenges for cloud platforms based on GNSS-denied scenarios. [ABSTRACT FROM AUTHOR]
قاعدة البيانات: Academic Search Index
الوصف
تدمد:14248220
DOI:10.3390/s22010110