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

Luo Yuan, Chang Su, Bo Fang, Yunfan Meng, Xinyang Wang and Wenyou Gao

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

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.

Keywords: Chaos Particle Ant Colony Algorithm; Digital Currency Electronic Payment; Electronic-China Yuan; Fuzzy Theory; simulation pptimization; supply chain management (search for similar items in EconPapers)
JEL-codes: F3 G3 (search for similar items in EconPapers)
Pages: 18 pages
Date: 2023-01-01
New Economics Papers: this item is included in nep-cna and nep-pay
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Published in Journal of Global Information Management, 1, January, 2023, 31(9), pp. 1-18. ISSN: 1062-7375

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