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Taxonomy on Ambient Computing: A Research Methodology Perspective
Abstract
The rise of Internet-of-Things, Cloud infrastructure, and intelligent home solutions has resulted in the growth of Ambient Computing over the past decade. This article is an attempt to cluster the multi-dimensional research in ambient computing into relevant nodes. The author proposes a taxonomy in ambient computing, creating a logical arrangement of such nodes. An algorithm based on the cosine similarity function for calculating the distance between two ‘author keywords' has been used to spawn the inter-nodal relationships. The vocabulary for the research has been generated from IEEE Xplore taking into consideration the relevant journal publications. The taxonomy will guide researchers to the relevant published literature about a certain area of interest instead of exhaustive search into a plethora of published research in ambient computing. The taxonomy exhibits exponential growth of research in ambient computing over the last three years.
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