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AuthorYassine, A.
AuthorHossain, M. Shamim
AuthorMuhammad, Ghulam
AuthorGuizani, Mohsen
Available date2022-12-09T19:27:46Z
Publication Date2020-05-01
Publication NameIEEE Transactions on Vehicular Technology
Identifierhttp://dx.doi.org/10.1109/TVT.2020.2979941
CitationYassine, A., Hossain, M. S., Muhammad, G., & Guizani, M. (2020). Cloudlet-based intelligent auctioning agents for truthful autonomous electric vehicles energy crowdsourcing. IEEE Transactions on Vehicular Technology, 69(5), 5457-5466.‏
ISSN00189545
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85085206243&origin=inward
URIhttp://hdl.handle.net/10576/37113
AbstractThis paper proposes cloudlet-based intelligent agents for energy crowdsourcing from autonomous electric vehicles (AEVs). Existing energy crowdsourcing mechanisms focus on load shedding and cost savings, but lack incentive models for strategically behaving agents. In the proposed model, crowdsourcing agents residing on the edge network communicate with AEVs to stimulate them to participate in providing energy to the grid during peak time periods. The focus of this paper is on the development of incentive mechanisms that allow the agents to engage in an auctioning process according to their energy contribution. Through theoretical analysis and simulations, we evaluate the performance of the proposed model with respect to individual rationality, computational efficiency, and truthfulness.
SponsorThis work was supported by the Deanship of Scientific Research at King Saud University, Riyadh, Saudi Arabia, through the Vice Deanship of Scientific Research Chairs: Chair of Smart Cities Technology.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectagents
autonomous electric vehicles
cloudlets
Edge networks
energy crowdsourcing
incentive mechanisms
TitleCloudlet-Based Intelligent Auctioning Agents for Truthful Autonomous Electric Vehicles Energy Crowdsourcing
TypeArticle
Pagination5457-5466
Issue Number5
Volume Number69
dc.accessType Abstract Only


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