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The optimization of digital currency electronic payment in RMB based on big data and fuzzy theory

Author

Listed:
  • Yuan, Luo
  • Su, Chang
  • Fang, Bo
  • Meng, Yunfan
  • Wang, Xinyang
  • Gao, Wenyou

Abstract

Supply chain management is a key component of the Electronic-China Yuan (e-CNY) infrastructure and is crucial to developing and using e-CNY. This paper first provides an overview of the features of e-CNY and the idea of incorporating supply chain management into the creation of e-CNY software to better meet user payment requirements. This will help to reinforce the CNY's dominant position in the global monetary system. Meanwhile, this paper uses the fuzzy theory evaluation method to assess the software supply chain management informatization level. More broadly, this paper discusses the development level of digital enterprise supply chain management informatization to understand the current situation of e-CNY software supply chain management. The network's energy usage will increase when e-CNY software is developed. This research suggests a routing protocol based on the combination of chaotic particle swarm optimization (CPSO) and ant colony algorithm (ACA). It employs a new CPSO algorithm to optimize the cluster head selection.

Suggested Citation

  • Yuan, Luo & Su, Chang & Fang, Bo & Meng, Yunfan & Wang, Xinyang & Gao, Wenyou, 2023. "The optimization of digital currency electronic payment in RMB based on big data and fuzzy theory," LSE Research Online Documents on Economics 123657, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:123657
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    References listed on IDEAS

    as
    1. Jonathan Chiu & Seyed Mohammadreza Davoodalhosseini & Janet Jiang & Yu Zhu, 2023. "Bank Market Power and Central Bank Digital Currency: Theory and Quantitative Assessment," Journal of Political Economy, University of Chicago Press, vol. 131(5), pages 1213-1248.
    2. Ali Majdi, 2022. "Proposing New Routing Protocol Based on Chaos Algorithm," Review of Computer Engineering Research, Conscientia Beam, vol. 9(1), pages 55-70.
    3. Sina Duensing & Martin C. Schleper & Christian Busse, 2023. "Wildlife trafficking as a societal supply chain risk: Removing the parasite without damaging the host?," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(2), pages 3-32, April.
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    JEL classification:

    • F3 - International Economics - - International Finance
    • G3 - Financial Economics - - Corporate Finance and Governance

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