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Fog Architectures and Sensor Location Certification in Distributed Event-Based Systems

Information & Computing Lab, AtlantTIC Research Center, Universidade de Vigo, 36310 Vigo, Spain
SAMOVAR (Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux), Télécom SudParis, CNRS, Université Paris-Saclay, 91000 Évry, France
Author to whom correspondence should be addressed.
This Paper is an Extended Version of Our Paper Published in “Castro-Jul, F.; Conan, D.; Chabridon, S.; Díaz-Redondo, R.P.; Fernández-Vilas, A.; Taconet, C. Combining Fog Architectures and Distributed Event-Based Systems for Mobile Sensor Location Certification. In Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence, Philadelphia, PA, USA, 7–10 November 2017; Springer: Berlin, Germany, 2017, pp. 27–33.”.
Sensors 2019, 19(1), 104;
Received: 15 November 2018 / Revised: 11 December 2018 / Accepted: 20 December 2018 / Published: 29 December 2018
(This article belongs to the Special Issue Pervasive Intelligence and Computing)
PDF [1150 KB, uploaded 29 December 2018]


Since smart cities aim at becoming self-monitoring and self-response systems, their deployment relies on close resource monitoring through large-scale urban sensing. The subsequent gathering of massive amounts of data makes essential the development of event-filtering mechanisms that enable the selection of what is relevant and trustworthy. Due to the rise of mobile event producers, location information has become a valuable filtering criterion, as it not only offers extra information on the described event, but also enhances trust in the producer. Implementing mechanisms that validate the quality of location information becomes then imperative. The lack of such strategies in cloud architectures compels the adoption of new communication schemes for Internet of Things (IoT)-based urban services. To serve the demand for location verification in urban event-based systems (DEBS), we have designed three different fog architectures that combine proximity and cloud communication. We have used network simulations with realistic urban traces to prove that the three of them can correctly identify between 73% and 100% of false location claims. View Full-Text
Keywords: participatory sensing; smart cities; Internet of Things; distributed event-based systems participatory sensing; smart cities; Internet of Things; distributed event-based systems

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Castro-Jul, F.; Díaz-Redondo, R.P.; Fernández-Vilas, A.; Chabridon, S.; Conan, D. Fog Architectures and Sensor Location Certification in Distributed Event-Based Systems. Sensors 2019, 19, 104.

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