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Stackelberg Game-Based Resource Allocation with Blockchain for Cold-Chain Logistics System

Yang Zhang1, Chaoyang Li2,*, Xiangjun Xin2

1 College of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, China
2 College of Software Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, China

* Corresponding Author: Chaoyang Li. Email: email

Computers, Materials & Continua 2023, 75(2), 2429-2442. https://doi.org/10.32604/cmc.2023.037139

Abstract

Cold-chain logistics system (CCLS) plays the role of collecting and managing the logistics data of frozen food. However, there always exist problems of information loss, data tampering, and privacy leakage in traditional centralized systems, which influence frozen food security and people’s health. The centralized management form impedes the development of the cold-chain logistics industry and weakens logistics data availability. This paper first introduces a distributed CCLS based on blockchain technology to solve the centralized management problem. This system aggregates the production base, storage, transport, detection, processing, and consumer to form a cold-chain logistics union. The blockchain ledger guarantees that the logistics data cannot be tampered with and establishes a traceability mechanism for food safety incidents. Meanwhile, to improve the value of logistics data, a Stackelberg game-based resource allocation model has been proposed between the logistics data resource provider and the consumer. The competition between resource price and volume balances the resource supplement and consumption. This model can help to achieve an optimal resource price when the Stackelberg game obtains Nash equilibrium. The two participants also can maximize their revenues with the optimal resource price and volume by utilizing the backward induction method. Then, the performance evaluations of transaction throughput and latency show that the proposed distributed CCLS is more secure and stable. The simulations about the variation trend of data price and amount, optimal benefits, and total benefits comparison of different forms show that the resource allocation model is more efficient and practical. Moreover, the blockchain-based CCLS and Stackelberg game-based resource allocation model also can promote the value of logistic data and improve social benefits.

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Cite This Article

APA Style
Zhang, Y., Li, C., Xin, X. (2023). Stackelberg game-based resource allocation with blockchain for cold-chain logistics system. Computers, Materials & Continua, 75(2), 2429-2442. https://doi.org/10.32604/cmc.2023.037139
Vancouver Style
Zhang Y, Li C, Xin X. Stackelberg game-based resource allocation with blockchain for cold-chain logistics system. Comput Mater Contin. 2023;75(2):2429-2442 https://doi.org/10.32604/cmc.2023.037139
IEEE Style
Y. Zhang, C. Li, and X. Xin "Stackelberg Game-Based Resource Allocation with Blockchain for Cold-Chain Logistics System," Comput. Mater. Contin., vol. 75, no. 2, pp. 2429-2442. 2023. https://doi.org/10.32604/cmc.2023.037139



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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