IoT enabled smart buildings: A systematic review

Bashir, MR; Gill, AQ

IoT enabled smart buildings: A systematic review

Bashir, MR Gill, AQ

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Publication Type:: Conference Proceeding
Citation:: 2017 Intelligent Systems Conference, IntelliSys 2017, 2018, 2018-January pp. 151 - 159
Issue Date:: 2018-03-23

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Field	Value	Language
dc.contributor.author	Bashir, MR	en_US
dc.contributor.author	Gill, AQ https://orcid.org/0000-0001-6239-6280	en_US
dc.date.issued	2018-03-23	en_US
dc.identifier.citation	2017 Intelligent Systems Conference, IntelliSys 2017, 2018, 2018-January pp. 151 - 159	en_US
dc.identifier.isbn	9781509064359	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127411
dc.description.abstract	© 2017 IEEE. There is an increasing interest in the Internet of Things (IoT) enabled smart buildings. The main question is: What are the key challenges, which must be addressed to effectively manage and analyze the big data for IoT enabled smart buildings. There is a need for the systematic literature review to understand the challenges and the solutions to overcome such challenges. Using the SLR approach, 22 relevant studies were identified and reviewed in this paper. The data from these selected studies were extracted to identify the challenges and relevant solutions. The findings from this research paper will serve as a knowledge base for researchers and practitioners for conducting further research and development in this important area.	en_US
dc.relation.ispartof	2017 Intelligent Systems Conference, IntelliSys 2017	en_US
dc.relation.isbasedon	10.1109/IntelliSys.2017.8324283	en_US
dc.title	IoT enabled smart buildings: A systematic review	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2018-January	en_US
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2018-January	en_US

Abstract:

© 2017 IEEE. There is an increasing interest in the Internet of Things (IoT) enabled smart buildings. The main question is: What are the key challenges, which must be addressed to effectively manage and analyze the big data for IoT enabled smart buildings. There is a need for the systematic literature review to understand the challenges and the solutions to overcome such challenges. Using the SLR approach, 22 relevant studies were identified and reviewed in this paper. The data from these selected studies were extracted to identify the challenges and relevant solutions. The findings from this research paper will serve as a knowledge base for researchers and practitioners for conducting further research and development in this important area.

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http://hdl.handle.net/10453/127411