Abstract
Event filtering is of paramount importance in large-scale ur- ban sensing, where an enormous quantity of data is generated. Multiple criteria can be considered for filtering, location being one of the most valuable ones. Obtaining high-quality (trustworthy, accurate) location information helps to contextualize the event content and provides trust both on the source producer and on the publication itself. However, IoT-based urban services rely often on cloud architectures, which have no means to support location certification. To meet the need for location certification support in urban distributed event-based systems (DEBS), we propose three different fog architectures targeted at scenarios with mobile event producers.
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To tolerate disconnections and overlapping.
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Acknowledgments
This work is funded by: the European Regional Development Fund (ERDF) and the Galician Regional Government under agreement for funding the Atlantic Research Center for Information and Communication Technologies (AtlantTIC), the Spanish Ministry of Economy and Competitiveness under the National Science Program (TEC2014-54335-C4-3-R) and a predoctoral grant financed by the Galician Regional Government (Consellería de Cultura, Educación e Ordenación Universitaria) and the European Social Fund.
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Castro-Jul, F., Conan, D., Chabridon, S., Díaz Redondo, R.P., Fernández Vilas, A., Taconet, C. (2017). Combining Fog Architectures and Distributed Event-Based Systems for Mobile Sensor Location Certification. In: Ochoa, S., Singh, P., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2017. Lecture Notes in Computer Science(), vol 10586. Springer, Cham. https://doi.org/10.1007/978-3-319-67585-5_3
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DOI: https://doi.org/10.1007/978-3-319-67585-5_3
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