A Reference Architecture for IoT-Enabled Smart Buildings

The management and analytics of big data generated from IoT sensors deployed in smart buildings pose a real challenge in today’s world. Hence, there is a clear need for an IoT focused Integrated Big Data Management and Analytics framework to enable the near real-time autonomous control and managemen...

Full description

Saved in:
Bibliographic Details
Published in:SN computer science 2022-11, Vol.3 (6), p.493, Article 493
Main Authors: Bashir, Muhammad Rizwan, Gill, Asif Qumer, Beydoun, Ghassan
Format: Article
Language:English
Subjects:
Architecture
Artificial intelligence
Big Data
Buildings
Computer Imaging
Computer Science
Computer Systems Organization and Communication Networks
Data analysis
Data management
Data Structures and Information Theory
Energy consumption
Information Systems and Communication Service
Internet of Things
Machine learning
Mathematical analysis
Original Research
Pattern Recognition and Graphics
Real time
Sensors
Smart buildings
Smart cities
Smart sensors
Software Engineering/Programming and Operating Systems
Vision
Wearable computers
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The management and analytics of big data generated from IoT sensors deployed in smart buildings pose a real challenge in today’s world. Hence, there is a clear need for an IoT focused Integrated Big Data Management and Analytics framework to enable the near real-time autonomous control and management of smart buildings. The focus of this paper is on the development and evaluation of the reference architecture required to support such a framework. The applicability of the reference architecture is evaluated by taking into account various example scenarios for a smart building involving the management and analysis of near real-time IoT data from 1000 sensors. The results demonstrate that the reference architecture can guide the complex integration and orchestration of real-time IoT data management, analytics, and autonomous control of smart buildings, and that the architecture can be scaled up to address challenges for other smart environments.
ISSN:2661-8907
2662-995X
2661-8907
DOI:10.1007/s42979-022-01401-9