Ożadowicz, A. Generic IoT for Smart Buildings and Field-Level Automation—Challenges, Threats, Approaches, and Solutions. Computers2024, 13, 45.
Ożadowicz, A. Generic IoT for Smart Buildings and Field-Level Automation—Challenges, Threats, Approaches, and Solutions. Computers 2024, 13, 45.
Ożadowicz, A. Generic IoT for Smart Buildings and Field-Level Automation—Challenges, Threats, Approaches, and Solutions. Computers2024, 13, 45.
Ożadowicz, A. Generic IoT for Smart Buildings and Field-Level Automation—Challenges, Threats, Approaches, and Solutions. Computers 2024, 13, 45.
Abstract
Smart home and building systems are popular solution that support maintaining comfort, safety and improving energy efficiency in buildings. However, dynamically developing distributed network technologies, in particular the Internet of Things, are increasingly entering the above-mentioned application areas of building automation, offering new functional possibilities. The result of these processes is the emergence of many different solutions that mix technologies of field-level and ICT networks in various configurations and architectures. New paradigms are also emerging, such as edge and fog computing, providing support for local monitoring and control networks in the implementation of advanced functions and algorithms, including machine learning and artificial intelligence mechanisms. This paper collects state-of-the-art information in these areas, along with a systematic review of the literature, case-studies and an analysis of selected development trends. The author systematized this information in the context of the potential development of building automation systems. Based on the conclusions of this analysis and discussion, a framework for the development of the Generic IoT paradigm in smart home and building applications has been proposed, along with a SWOT analysis of its usability. Future works are proposed as well.
Keywords
building automation; Internet of Things; generic IoT; fieldbus; edge computing; fog computing; blockchain; machine learning; artificial intelligence; IoT assessment.
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
