First score auction for pricing-based resource selection in vehicular cloud

Mishra, S; Mishra, SK; Sahoo, B; Obaidat, MS; Puthal, D

First score auction for pricing-based resource selection in vehicular cloud

Mishra, S Mishra, SK Sahoo, B Obaidat, MS Puthal, D

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Publication Type:: Conference Proceeding
Citation:: CITS 2018 - 2018 International Conference on Computer, Information and Telecommunication Systems, 2018
Issue Date:: 2018-08-17

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Field	Value	Language
dc.contributor.author	Mishra, S	en_US
dc.contributor.author	Mishra, SK	en_US
dc.contributor.author	Sahoo, B	en_US
dc.contributor.author	Obaidat, MS	en_US
dc.contributor.author	Puthal, D https://orcid.org/0000-0002-8332-278X	en_US
dc.date.issued	2018-08-17	en_US
dc.identifier.citation	CITS 2018 - 2018 International Conference on Computer, Information and Telecommunication Systems, 2018	en_US
dc.identifier.isbn	9781538640753	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132200
dc.description.abstract	© 2018 IEEE. Selecting vehicles to supply resources is a crucial research problem in the vehicular cloud and highly depends on the pricing of the resources. Subsequently, resource pricing is an intricate problem influenced by the market demand and quality of service provided. Widespread and autonomous vehicular network requires reputation as a medium for trusting the supplier vehicles. Taking into account the above factors, we design the utility of supplier and consumer vehicles. Subsequently, a 1st score auction mechanism is proposed and modeled for the consumer vehicles to obtain maximum utility. Additionally, the protocol enables the supplier vehicles to decide the optimal pricing of resources. The 1st auction protocol is then simulated and the experimental results indicate better performance of our protocol than other standard protocols.	en_US
dc.relation.ispartof	CITS 2018 - 2018 International Conference on Computer, Information and Telecommunication Systems	en_US
dc.relation.isbasedon	10.1109/CITS.2018.8440180	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	First score auction for pricing-based resource selection in vehicular cloud	en_US
dc.type	Conference Proceeding
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 Information, Systems and Modelling
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. Selecting vehicles to supply resources is a crucial research problem in the vehicular cloud and highly depends on the pricing of the resources. Subsequently, resource pricing is an intricate problem influenced by the market demand and quality of service provided. Widespread and autonomous vehicular network requires reputation as a medium for trusting the supplier vehicles. Taking into account the above factors, we design the utility of supplier and consumer vehicles. Subsequently, a 1st score auction mechanism is proposed and modeled for the consumer vehicles to obtain maximum utility. Additionally, the protocol enables the supplier vehicles to decide the optimal pricing of resources. The 1st auction protocol is then simulated and the experimental results indicate better performance of our protocol than other standard protocols.

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http://hdl.handle.net/10453/132200