#4670. Auction method to prevent bid-rigging strategies in mobile blockchain edge computing resource allocation

August 2026publication date
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Journal’s subject area:
Information Technologies
Business and International Management;
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More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
To introduce blockchain technology to the mobile internet and Internet of Things, offloading proof-of-work tasks to edge computing nodes is considered an effective solution. Among these solutions, pricing edge computing resources through auctions has been widely accepted as a simple and efficient method. In this study, we first model the optimal bid-rigging mechanism in a mobile blockchain edge computing resource auction. Finally, we propose a solution for the optimal reserve price of the SA (simulated annealing) algorithm, which calculates the optimal reserve price according to bidders’ willingness to pay and the number of bid-rigging participants to improve the revenue. Through experiments, it is verified that the proposed method meets the requirements of IR (individual rationality) and IC (incentive compatibility) in resource allocation, and effectively impacts of the number of bidders who adopt a bid-rigging strategy in auctions on ESP revenue. Using this algorithm to conduct auctions can increase revenue by approximately 2%, requiring the ESP to pay only a small computational cost.
Keywords:
Auction; Bid-rigging strategy prevention; Edge computing; Mobile blockchain; Resource allocation

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