Policy-Based Consensus Data Aggregation for the Internet of Things

Chaczko, Z; Al-Doghman, F; Rakhi Ajayan, A

Policy-Based Consensus Data Aggregation for the Internet of Things

Chaczko, Z

Al-Doghman, F

Rakhi Ajayan, A

Permalink

Publisher:: Springer Nsture
Publication Type:: Chapter
Citation:: Smart Innovations in Engineering and Technology, 2020, 1, 15 pp. 119 - 130
Issue Date:: 2020

Closed Access

	Filename	Description	Size
	488270_1_En_8_Chapter_Author.pdf	Accepted Manuscript version	932.33 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510	en_US
dc.contributor.author	Al-Doghman, F https://orcid.org/0000-0002-1020-8097	en_US
dc.contributor.author	Rakhi Ajayan, A	en_US
dc.contributor.editor	Klempous, R	en_US
dc.contributor.editor	Nikodem, J	en_US
dc.date.issued	2020	en_US
dc.identifier.citation	Smart Innovations in Engineering and Technology, 2020, 1, 15 pp. 119 - 130	en_US
dc.identifier.isbn	3030172775	en_US
dc.identifier.isbn	9783030172770	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137324
dc.description.abstract	The new trend of the Internet of Things brings a whole breed of opportunities and applications. Within it, a massive amount of data coming from heterogeneous sources travel in a bidirectional way. Data aggregation is one of the most efficient ways to mitigate Big Data. However, using one type of aggregation within a network at all times is not an optimal option. Various network situations require different aggregation functions at different times. We introduce a policy-based data aggregation framework that can handle this issue by referring to a policy when executing the aggregation strategy. An agreement process is used to reach consensus about the aggregation function that is to be applied on the network (or part of it) at a specific time. Participants are to negotiate the policy terms based on the current network status and the nature of the coming requests. The framework represents a promising scope for fully automated IoT.	en_US
dc.publisher	Springer Nsture	en_US
dc.relation.ispartof	Smart Innovations in Engineering and Technology	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Policy-Based Consensus Data Aggregation for the Internet of Things	en_US
dc.type	Chapter
utslib.citation.volume	15	en_US
utslib.location	Cham, Switzerland	en_US
utslib.citation.edition	1	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.consider-herdc	true	en_US
pubs.edition	1	en_US
pubs.place-of-publication	Cham, Switzerland	en_US
pubs.volume	15	en_US

Abstract:

The new trend of the Internet of Things brings a whole breed of opportunities and applications. Within it, a massive amount of data coming from heterogeneous sources travel in a bidirectional way. Data aggregation is one of the most efficient ways to mitigate Big Data. However, using one type of aggregation within a network at all times is not an optimal option. Various network situations require different aggregation functions at different times. We introduce a policy-based data aggregation framework that can handle this issue by referring to a policy when executing the aggregation strategy. An agreement process is used to reach consensus about the aggregation function that is to be applied on the network (or part of it) at a specific time. Participants are to negotiate the policy terms based on the current network status and the nature of the coming requests. The framework represents a promising scope for fully automated IoT.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/137324