A review of aggregation algorithms for the internet of things

Al-Doghman, F; Chaczko, Z; Jiang, J

A review of aggregation algorithms for the internet of things

Al-Doghman, F

Chaczko, Z

Jiang, J

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 25th International Conference on Systems Engineering, ICSEng 2017, 2017, 2017-January pp. 480 - 487
Issue Date:: 2017-11-27

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Field	Value	Language
dc.contributor.author	Al-Doghman, F https://orcid.org/0000-0002-1020-8097	en_US
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510	en_US
dc.contributor.author	Jiang, J	en_US
dc.date.issued	2017-11-27	en_US
dc.identifier.citation	Proceedings - 25th International Conference on Systems Engineering, ICSEng 2017, 2017, 2017-January pp. 480 - 487	en_US
dc.identifier.isbn	9781538606100	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126300
dc.description.abstract	© 2017 IEEE. The Internet of Things (IoT) epitomizes the upcoming eminent transition in the world’s economy and human lifestyle where people and various objects are correlated within networks. Data Aggregation is a technique which can be used to mitigate Big Data challenges within IoT. This paper provides an overview of various approaches for aggregation of data in IoT infrastructure. A new class of reliable Data Aggregation algorithm is discussed as well. This new class of algorithm uses a consensus based aggregation with fault tolerance methodology in Fog Computing. The new approach allows promoting adaptive behavior and more efficient delivery of the aggregation outcomes to the ascendant node(s). The proposed method is fault tolerant and deals with nodes reliability issues.	en_US
dc.relation.ispartof	Proceedings - 25th International Conference on Systems Engineering, ICSEng 2017	en_US
dc.relation.isbasedon	10.1109/ICSEng.2017.43	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A review of aggregation algorithms for the internet of things	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2017-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/DVC (Teaching and Learning)
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 Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	2017-January	en_US

Abstract:

© 2017 IEEE. The Internet of Things (IoT) epitomizes the upcoming eminent transition in the world’s economy and human lifestyle where people and various objects are correlated within networks. Data Aggregation is a technique which can be used to mitigate Big Data challenges within IoT. This paper provides an overview of various approaches for aggregation of data in IoT infrastructure. A new class of reliable Data Aggregation algorithm is discussed as well. This new class of algorithm uses a consensus based aggregation with fault tolerance methodology in Fog Computing. The new approach allows promoting adaptive behavior and more efficient delivery of the aggregation outcomes to the ascendant node(s). The proposed method is fault tolerant and deals with nodes reliability issues.

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http://hdl.handle.net/10453/126300