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. Sensors2019, 19, 104.
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.
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. Sensors2019, 19, 104.
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.
Abstract
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 event described but also enhances trust on 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 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. Moreover, we have successfully assessed their performance using network simulations with realistic urban traces.
Keywords
participatory sensing; smart city; Internet of Things; distributed event-based systems
Subject
Computer Science and Mathematics, Information Systems
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
