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.
CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10586 LNCS, pp. 27–33). Springer Verlag. https://doi.org/10.1007/978-3-319-67585-5_3
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