A software-defined model for IoT clusters: Enabling applications on demand

Nguyen, TMC; Hoang, DB; Dat Dang, T

A software-defined model for IoT clusters: Enabling applications on demand

Nguyen, TMC

Hoang, DB

Dat Dang, T

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Publication Type:: Conference Proceeding
Citation:: International Conference on Information Networking, 2018, 2018-January pp. 776 - 781
Issue Date:: 2018-04-19

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Field	Value	Language
dc.contributor.author	Nguyen, TMC https://orcid.org/0000-0002-0950-2600	en_US
dc.contributor.author	Hoang, DB https://orcid.org/0000-0003-1798-4926	en_US
dc.contributor.author	Dat Dang, T	en_US
dc.date.available	2017-11-05	en_US
dc.date.issued	2018-04-19	en_US
dc.identifier.citation	International Conference on Information Networking, 2018, 2018-January pp. 776 - 781	en_US
dc.identifier.isbn	9781538622896	en_US
dc.identifier.issn	1976-7684	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121320
dc.description.abstract	© 2018 IEEE. Sensors and smart devices have become in-dispensable elements in the Internet of Things (IoT) systems. Collectively, they interconnect in vast number and provide massive amount of data about themselves and their physical environments. More importantly, numerous IoT services are envisaged to serve us in various capacities from personal health, smart homes to smart cities and critical infrastructures. Current IoT systems are mostly application-specific, rigidly configured and non-programmable and hence their applications are limited and difficult to reuse. The challenge is in handling a large number of sensors/IoT devices, many with limited capability, into intelligent, useful services on-demand. Software-defined concept of Software-Defined Networking (SDN) and software implementation of networked devices of Network Functions Virtualization (NFV) promise an effective solution to the challenge. This paper proposes a software-defined IoT (SD-IoT) model through leveraging these two emerging SDN and NFV technologies. In particular, the paper presents the design of a streamline SD-IoT controller, a lightweight and reconfigurable software-defined virtual sensor (SD-VSensor) to represent its underlying sensors, and a communication protocol (S-MANAGE) between them. The implementation results demonstrate the feasibility and efficiency of the proposed architecture.	en_US
dc.relation.ispartof	International Conference on Information Networking	en_US
dc.relation.isbasedon	10.1109/ICOIN.2018.8343223	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A software-defined model for IoT clusters: Enabling applications on demand	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2018-January	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	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 Electrical and Data Engineering
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:

© 2018 IEEE. Sensors and smart devices have become in-dispensable elements in the Internet of Things (IoT) systems. Collectively, they interconnect in vast number and provide massive amount of data about themselves and their physical environments. More importantly, numerous IoT services are envisaged to serve us in various capacities from personal health, smart homes to smart cities and critical infrastructures. Current IoT systems are mostly application-specific, rigidly configured and non-programmable and hence their applications are limited and difficult to reuse. The challenge is in handling a large number of sensors/IoT devices, many with limited capability, into intelligent, useful services on-demand. Software-defined concept of Software-Defined Networking (SDN) and software implementation of networked devices of Network Functions Virtualization (NFV) promise an effective solution to the challenge. This paper proposes a software-defined IoT (SD-IoT) model through leveraging these two emerging SDN and NFV technologies. In particular, the paper presents the design of a streamline SD-IoT controller, a lightweight and reconfigurable software-defined virtual sensor (SD-VSensor) to represent its underlying sensors, and a communication protocol (S-MANAGE) between them. The implementation results demonstrate the feasibility and efficiency of the proposed architecture.

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http://hdl.handle.net/10453/121320