@article{Quezada2022a,
title = {Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review},
author = {Darwin Quezada-Gaibor and Joaquín Torres-Sospedra and Jari Nurmi and Yevgeni Koucheryavy and Joaquín Huerta-Guijarro},
doi = {https://doi.org/10.3390/s22010110},
issn = {1424-8220},
year = {2022},
date = {2022-01-15},
journal = {Sensors},
volume = {22},
number = {1},
pages = {110},
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.},
keywords = {Cloud computing, Indoor positioning},
pubstate = {published},
tppubtype = {article}
}

@article{Granell20161,
title = {Future Internet technologies for environmental applications},
author = {Carlos Granell-Canut and Denis Havlik and Sven Schade and Zoheir Sabeur and Conor Delaney and Jasmin Pielorz and Thomas Usländer and Paolo Mazzetti and Katharina Schleidt and Mike Kobernus and Fuada Havlik and Nils Rune Bodsberg and Arne Berre and Jose Lorenzo Mon},
url = {http://www.sciencedirect.com/science/article/pii/S1364815215301298},
doi = {http://dx.doi.org/10.1016/j.envsoft.2015.12.015},
issn = {1364-8152},
year = {2016},
date = {2016-04-08},
journal = {Environmental Modelling & Software},
volume = {78},
pages = {1 - 15},
abstract = {This paper investigates the usability of Future Internet technologies (aka “Generic Enablers of the Future Internet”) in the context of environmental applications. The paper incorporates the best aspects of the state-of-the-art in environmental informatics with geospatial solutions and scalable processing capabilities of Internet-based tools. It specifically targets the promotion of the “Environmental Observation Web” as an observation-centric paradigm for building the next generation of environmental applications. In the Environmental Observation Web, the great majority of data are considered as observations. These can be generated from sensors (hardware), numerical simulations (models), as well as by humans (human sensors). Independently from the observation provenance and application scope, data can be represented and processed in a standardised way in order to understand environmental processes and their interdependencies. The development of cross-domain applications is then leveraged by technologies such as Cloud Computing, Internet of Things, Big Data Processing and Analytics. For example, “the cloud” can satisfy the peak-performance needs of applications which may occasionally use large amounts of processing power at a fraction of the price of a dedicated server farm. The paper also addresses the need for Specific Enablers that connect mainstream Future Internet capabilities with sensor and geospatial technologies. Main categories of such Specific Enablers are described with an overall architectural approach for developing environmental applications and exemplar use cases.},
note = {IF: 4.404 - 6/105 (Q1) Computer Science, Interdisciplinary Applications
IF: 4.404 - 8/49 (Q1) Engineering, Environmental
IF: 4.404 - 25/229 (Q1) Environmental Sciences
},
keywords = {Big data, Cloud computing, Crowdtasking, Environmental informatics, Environmental observation web, Environmental specific enablers, Future internet, Internet of things, Volunteered geographic information},
pubstate = {published},
tppubtype = {article}
}