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

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 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.

Applications and Innovations on Sensor-Enabled Wearable Devices

“…The systematic review introduced in [ 9 ] is focused on current positioning platforms for GNSS-denied scenarios. The authors have undertaken a comprehensive analysis of each component of the positioning and localization systems, including techniques, protocols, standards, and cloud services used in state-of-the-art deployments.…”

Cloud-based Indoor Positioning Platform for Context-adaptivity in GNSS-denied Scenarios

“…The results retrieved are subsequently ltered using inclusion and exclusion criteria to determine which reports will ultimately be included in the review. This section updates the key ndings of the published systematic review [32] with reference to research articles published between January 2021 and May 2022.…”

“…Web Of Science Query to extend [32]: The dened queries will return a list of studies, including books, journal and conference papers. Since not all of the retrieved studies are relevant, the PRISMA model proposes tangible steps towards a better selection of germane works.…”

“…Stage 6: Total studies in review A total of works (journal, magazine, and conference works) are included in this review, from [32] and the recent works. Of the research studies selected, were published in conferences, followed by works published in dierent journals, and just a single magazine article.…”

“…Although cloud computing provides large storage and processing capabilities necessary for big data analysis, having cloud-client architecture increases the latency and reduces the time response. Moreover, cloud computing tends to be more vulnerable to security & privacy issues [32].…”