Fuzzy Fog Computing: A Linguistic Approach for Knowledge Inference in Wearable Devices
Type of publication: International Conference
Year of publication: 2017
Authors: Javier Medina
Director: Macarena Espinilla, Daniel Zafra, Luis Martínez, Chris Nugent
Type: Ubiquitous Computing and Ambient Intelligence: 11th International Conference, UCAmI 2017, Philadelphia, PA, USA, November 7-10, 2017, Proceedings
Editorial: Springer International Publishing
Pagination: 473-485
ISBN Number: 978-3-319-67585-5
Publication place: Cham
Abstract: 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.
URL: https://doi.org/10.1007/978-3-319-67585-5_48
DOI: 10.1007/978-3-319-67585-5_48
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