Smart data pricing models for the internet of things: A bundling strategy approach

Niyato, D; Hoang, DT; Luong, NC; Wang, P; Kim, DI; Han, Z

Smart data pricing models for the internet of things: A bundling strategy approach

Niyato, D Hoang, DT Luong, NC Wang, P Kim, DI Han, Z

Permalink

Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Network, 2016, 30, (2), pp. 18-25
Issue Date:: 2016-03-01

Closed Access

	Filename	Description	Size
	Smart_data_pricing_models_for_the_internet_of_things_a_bundling_strategy_approach.pdf	Published version	768.27 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	Niyato, D
dc.contributor.author	Hoang, DT
dc.contributor.author	Luong, NC
dc.contributor.author	Wang, P
dc.contributor.author	Kim, DI
dc.contributor.author	Han, Z
dc.date.accessioned	2022-07-22T04:49:07Z
dc.date.available	2022-07-22T04:49:07Z
dc.date.issued	2016-03-01
dc.identifier.citation	IEEE Network, 2016, 30, (2), pp. 18-25
dc.identifier.issn	0890-8044
dc.identifier.issn	1558-156X
dc.identifier.uri	http://hdl.handle.net/10453/159112
dc.description.abstract	The Internet of Things (IoT) has emerged as a new paradigm for the future Internet. In IoT, devices are connected to the Internet and thus are a huge data source for numerous applications. In this article, we focus on addressing data management in IoT through using a smart data pricing (SDP) approach. With SDP, data can be managed flexibly and efficiently through intelligent and adaptive incentive mechanisms. Moreover, data is a major source of revenue for providers and partners. We propose a new pricing scheme for IoT service providers to determine the sensing data buying price and IoT service subscription fee offered to sensor owners and service users, respectively. Additionally, we adopt the bundling strategy that allows multiple providers to form a coalition and offer their services as a bundle, attracting more users and achieving higher revenue. Finally, we outline some important open research issues for SDP and IoT.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Network
dc.relation.isbasedon	10.1109/MNET.2016.7437020
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering
dc.subject.classification	Networking & Telecommunications
dc.title	Smart data pricing models for the internet of things: A bundling strategy approach
dc.type	Journal Article
utslib.citation.volume	30
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
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/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-07-22T04:49:06Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	30
utslib.citation.issue	2

Abstract:

The Internet of Things (IoT) has emerged as a new paradigm for the future Internet. In IoT, devices are connected to the Internet and thus are a huge data source for numerous applications. In this article, we focus on addressing data management in IoT through using a smart data pricing (SDP) approach. With SDP, data can be managed flexibly and efficiently through intelligent and adaptive incentive mechanisms. Moreover, data is a major source of revenue for providers and partners. We propose a new pricing scheme for IoT service providers to determine the sensing data buying price and IoT service subscription fee offered to sensor owners and service users, respectively. Additionally, we adopt the bundling strategy that allows multiple providers to form a coalition and offer their services as a bundle, attracting more users and achieving higher revenue. Finally, we outline some important open research issues for SDP and IoT.

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

http://hdl.handle.net/10453/159112