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IoT and Big Data Analytics for Smart Buildings: A Survey
Author(s) -
Abdellah Daissaoui,
Azedine Boulmakoul,
Lamia Karim,
Ahmed Lbath
Publication year - 2020
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2020.03.021
Subject(s) - variety (cybernetics) , computer science , big data , analytics , digital transformation , data science , smart city , internet of things , productivity , building automation , data analysis , quality (philosophy) , computer security , world wide web , artificial intelligence , data mining , philosophy , physics , thermodynamics , epistemology , economics , macroeconomics , operating system
The processes of digital transformation have involved a variety of socio-technical activities, with the objective of increasing productivity, safety and quality of execution, sustainable development, collaborative working and solutions for the sustainable smart city. The major digital trends, changing the building sector and revealing new trends of understanding information technologies to integrate in this sector. Current smart building management systems incorporate a variety of sensors, actuators and dedicated networks. Their objectives are to observe the condition of specific areas and apply appropriate rules to preserve or improve comfort while saving energy. In this paper, we propose a review of related works to IoT, Big Data Analytics in smart buildings.

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