TY - JOUR
T1 - Cloud platforms for context-adaptive positioning and localisation in GNSS-denied scenarios—A systematic review
AU - Quezada-Gaibor, Darwin
AU - Torres-Sospedra, Joaquín
AU - Nurmi, Jari
AU - Koucheryavy, Yevgeni
AU - Huerta, Joaquín
N1 - Funding Information:
Funding: The authors gratefully acknowledge funding from European Union’s H2020 Research and Innovation programme under the Marie Skłodowska-Curie grant agreements No.813278 (A-WEAR, http://www.a-wear.eu/) (accessed on 16 March 2021) and No. 101023072 (ORIENTATE: Low-cost Reliable Indoor Positioning in Smart Factories, http://orientate.dsi.uminho.pt) (accessed on 16 March 2021); Ministerio de Ciencia, Innovación y Universidades (INSIGNIA, PTQ2018-009981).
Funding Information:
The authors gratefully acknowledge funding from European Union?s H2020 Research and Innovation programme under the Marie Sk?odowska-Curie grant agreements No.813278 (A-WEAR, http://www.a-wear.eu/) (accessed on 16 March 2021) and No. 101023072 (ORIENTATE: Low-cost Reliable Indoor Positioning in Smart Factories, http://orientate.dsi.uminho.pt) (accessed on 16 March 2021); Ministerio de Ciencia, Innovaci?n y Universidades (INSIGNIA, PTQ2018-009981).
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Cloud platform
KW - GNSS-denied scenarios
KW - Localisation
KW - Positioning
KW - Systematic review
U2 - 10.3390/s22010110
DO - 10.3390/s22010110
M3 - Review Article
AN - SCOPUS:85121588717
SN - 1424-8220
VL - 22
JO - Sensors
JF - Sensors
IS - 1
M1 - 110
ER -