Journal of Engineering, Project, and Production Management, 2026, 16(3), 2025-226
Optimization Algorithm of Internet Many-to-Many Data Transactions Based on Auction Theory
1
Teaching Assistant, School of Information Engineering, Nanyang
Vocational College of Agriculture, Nanyang, 47300, China, E-mail:
y13525114885y@163.com (corresponding author).
2
Teaching Assistant, School of Information Engineering, Nanyang
Vocational College of Agriculture, Nanyang, 47300, China, E-mail:
ariesliuyang@163.com
Project Management
Received October 13, 2025; revised November 26, 2025; accepted December 15, 2025
Available online April 8, 2026
Abstract: With the continuous growth in demand for multilateral data exchange on the Internet, traditional data transaction mechanisms are encountering bottlenecks in efficiency, fair pricing, and privacy protection, making it difficult to meet the collaborative optimization needs in a multi-participant environment. Therefore, a many-to-many data transaction optimization algorithm driven by auctions is proposed. This approach aims to maximize social welfare, incorporates privacy discount factors and stability screening mechanisms to create a utility regulation model, and introduces transaction price regulation strategies to handle heterogeneous bidding behaviors. Finally, efficient pairing is achieved through Lagrange relaxation and heuristic search. In low, medium, and high privacy level scenarios, the incentive imbalance indices of the proposed algorithm were 0.016, 0.017, and 0.021, respectively. The price deviation indices for the three types of bid asymmetry scenarios were 0.048, 0.052, and 0.060, respectively. The engagement rates of high-privacy users were 0.920, 0.909, and 0.870, respectively. The experimental results demonstrate that the proposed algorithm maintains stable matching efficiency, fair pricing, and strong incentive response across different privacy preferences and bidding structures, providing effective technical support for optimizing the design of multilateral data transaction mechanisms and platform systems construction.
Keywords: Auction theory, data trading, privacy optimization, heuristic algorithms, internet transactions.
Copyright © Journal of Engineering, Project, and Production Management (EPPM-Journal).
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.
Requests for reprints and permissions at eppm.journal@gmail.com.
Citation: Yan, H. and Liu, Y. (2026). Optimization Algorithm of Internet Many-to-Many Data Transactions Based on Auction Theory. Journal of Engineering, Project, and Production Management, 16(3), 2025-226.
