University of Oulu

Y. Xu, H. He, J. Liu, Y. Shen, T. Taleb and N. Shiratori, "IDADET: Iterative Double-Sided Auction-Based Data-Energy Transaction Ecosystem in Internet of Vehicles," in IEEE Internet of Things Journal, vol. 10, no. 11, pp. 10113-10130, 1 June1, 2023, doi: 10.1109/JIOT.2023.3236968

IDADET : iterative double-sided auction-based data-energy transaction ecosystem in Internet of Vehicles

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Author: Xu, Yang1; He, Honggang2; Liu, Jia1,3;
Organizations: 1School of Computer Science and Technology, Xidian University, Xi’an 710071, China
2School of Economics and Management, Xidian University, Xi’an 710071, China
3Center for Strategic Cyber Resilience Research and Development, National Institute of Informatics, Tokyo 101-8430, Japan
4Center for Wireless Communications, Faculty of Information Technology and Electrical Engineering, University of Oulu, 90570 Oulu, Finland
5Research and Development Initiative, Chuo University, Tokyo 112-8551, Japan
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 3.4 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2023
Publish Date: 2023-09-13


In the era of big data, the unprecedented growth of data has been regarded as an important asset and the commercial application of data acquisition markets has emerged accordingly. With the advancement of vehicle manufacturing and sensor technologies, a large amount of data can be collected and stored in electric vehicles (EVs), making the data acquisition scenario gradually extend to the Internet of Vehicles (IoV), and thus the corresponding operational rules and economic feasibility need to be fully investigated there. In this article, we focus on a general IoV-oriented data acquisition market that consists of a data center, multiple EVs, multiple roadside units (RSUs), and a market operator (broker), with the objective of social welfare maximization (SWM) by identifying the optimal data task allocation. However, due to the inherent information asymmetry and fragmentation in such a market, it is not feasible to solve the SWM problem directly. To this end, we propose an iterative double-sided auction (IDA) mechanism, which leverages the self-interested feature of RSUs and EVs to decompose the SWM problem, enabling every participant to make decisions in a distributed manner under the broker’s coordination. A complete set of operational rules covering the data task allocation, bidding, payment, and reimbursement are elaborately designed to achieve SWM, and energy is adopted as the pricing “currency,” such that an IDA-based data-energy transaction (IDADET) ecosystem is established in IoV. We verify the economic feasibility of the proposed IDADET ecosystem by showing its convergence and desirable properties of individual rationality, budget balance, incentive compatibility, and economic efficiency. In addition, considering the psychological effects of practical market participants, we make amendments to the operational rules of the IDADET ecosystem from the behavioral economics perspective, aiming to ensure its long-term well functioning. Extensive numerical results are presented to show the performance of the IDADET ecosystem and demonstrate its advantages in terms of economic properties, operational feasibility, fast convergence, and market social welfare.

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Series: IEEE internet of things journal
ISSN: 2372-2541
ISSN-E: 2327-4662
ISSN-L: 2327-4662
Volume: 10
Issue: 11
Pages: 10113 - 10130
DOI: 10.1109/JIOT.2023.3236968
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported in part by the National Natural Science Foundation of China under Grant 62102303 and Grant 62220106004; in part by JSPS KAKENHI Grant Number JP20K14742; in part by the Project of Cyber Security Establishment with Inter-University Cooperation; in part by the Key Research and Development Program of Shaanxi Province under Grant 2021KWZ-04; in part by the European Union’s Horizon 2020 Research and Innovation Program through the aerOS Project under Grant 101069732; in part by the Academy of Finland IDEA-MILL Project under Grant 352428; and in part by the Cooperative Research Project Program of the Research Institute of Electrical Communication, Tohoku University.
Academy of Finland Grant Number: 352428
Detailed Information: 352428 (Academy of Finland Funding decision)
Copyright information: © The Author(s) 2023. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see