Deployment of IoT Edge and Fog Computing Technologies to Develop Smart Building Services

Advances in embedded systems, based on System-on-a-Chip (SoC) architectures, have enabled the development of many commercial devices that are powerful enough to run operating systems and complex algorithms. These devices integrate a set of different sensors with connectivity, computing capacities an...

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Bibliographic Details
Published in:Sustainability 2018-10, Vol.10 (11), p.3832
Main Authors: Ferrández-Pastor, Francisco-Javier, Mora, Higinio, Jimeno-Morenilla, Antonio, Volckaert, Bruno
Format: Article
Language:English
Subjects:
Actuators
Air conditioning
Building automation
Building services
Buildings
Cloud computing
Communication
Control algorithms
Data analysis
Data centers
Embedded systems
Energy management
Information services
Information systems
Internet of Things
Interoperability
Operating costs
Quality of service
Security services
Sensors
Software
Subsystems
System on chip
Ventilation
Workloads
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Summary:Advances in embedded systems, based on System-on-a-Chip (SoC) architectures, have enabled the development of many commercial devices that are powerful enough to run operating systems and complex algorithms. These devices integrate a set of different sensors with connectivity, computing capacities and cost reduction. In this context, the Internet of Things (IoT) potential increases and introduces other development possibilities: “Things” can now increase computation near the source of the data; consequently, different IoT services can be deployed on local systems. This paradigm is known as “edge computing” and it integrates IoT technologies and cloud computing systems. Edge computing reduces the communications’ bandwidth needed between sensors and the central data centre. Management of sensors, actuators, embedded devices and other resources that may not be continuously connected to a network (such as smartphones) are required for this method. This trend is very attractive for smart building designs, where different subsystems (energy, climate control, security, comfort, user services, maintenance, and operating costs) must be integrated to develop intelligent facilities. In this work, a method to design smart services based on the edge computing paradigm is analysed and proposed. This novel approach overcomes some drawbacks of existing designs related to interoperability and scalability of services. An experimental architecture based on embedded devices is described. Energy management, security system, climate control and information services are the subsystems on which new smart facilities are implemented.
ISSN:2071-1050
2071-1050
DOI:10.3390/su10113832