An Adaptable Internet of Things Network Infrastructure Implemented for a Smart Building System

The impact of the Internet of Things (IoT) as a technological concept, has enabled smart advancements across a diverse range of sectors. Communication protocols, hardware advancements and terminologies associated with IoT are progressively evolving across the domains of its application. Identifiable areas applying the IoT concept are common and established across themes such as Industrial IoT (IIoT), Massive IoT (MIoT) Cities and Smart Buildings. Smart buildings use captured data and communication techniques to improve building efficiency, reduce energy demands and enhance the user's experience within the building. The presented research proposes an IoT approach to developing a Smart Building. It uses a three-layer IoT architecture consisting of a Sensing layer, a Gateway layer and a Cloud layer. The Sensing layer contains the sensors, which capture the chosen metrics' data. The Gateway layer consists of a micro-controller, which connects the Sensing layer to the Cloud layer via a chosen communication medium. The Cloud layer is responsible for storing and processing captured Big Data. The system captures multiple metrics, which can be used to develop further Machine Learning (ML) models. An architecture has been designed and applied to a university's satellite building, providing a flexible and adaptable network infrastructure for a smart building.