Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review
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Other documents of the author: Quezada Gaibor, Darwin; Torres-Sospedra, Joaquín; Nurmi, Jari; Koucheryavy, Yevgeni; Huerta, Joaquin
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Title
Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic ReviewAuthor (s)
Date
2021-12-24Publisher
MDPIISSN
1424-8220Bibliographic citation
Quezada-Gaibor, D.; Torres-Sospedra, J.; Nurmi, J.; Koucheryavy, Y.; Huerta, J. Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review. Sensors 2022, 22, 110. https://doi.org/10.3390/s22010110Type
info:eu-repo/semantics/articleVersion
info:eu-repo/semantics/publishedVersionSubject
Abstract
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 ... [+]
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. [-]
Is part of
A Systematic Review. Sensors 2022, 22, 110Funder Name
European Union’s H2020 Research | the Marie Skłodowska-Curie | Ministerio de Ciencia, Innovación y Universidades
Project code
info:eu-repo/grantAgreement/EC/H2020/813278 | 101023072 | PTQ2018-009981
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info:eu-repo/semantics/openAccess
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