Fog Computing has emerged as a new paradigm where the processing of data and collaborative services are embedded within smart objects, which cooperate between them to reach common goals. In this work, a rule-based Inference Engine based on fuzzy linguistic approach is integrated in the smart devices. The linguistic representation of local and remote sensors is defined by protoforms, which configure the antecedents of the rules in the Inference Engine. A case study where two inhabitants with a wearable device conduct activities in a Smart Lab is presented. Each wearable device infers the daily activities within the wearable devices by means of the rule-based Inference Engine.
CITATION STYLE
Medina, J., Espinilla, M., Zafra, D., Martínez, L., & Nugent, C. (2017). Fuzzy fog computing: A linguistic approach for knowledge inference in wearable devices. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10586 LNCS, pp. 473–485). Springer Verlag. https://doi.org/10.1007/978-3-319-67585-5_48
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