1. Edge Computing and Lightning Network Empowered Secure Food Supply Management
- Author
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Keke Gai, Kim-Kwang Raymond Choo, Peng Jiang, Liehuang Zhu, Zhengkang Fang, and Ruili Wang
- Subjects
Traceability ,Computer Networks and Communications ,Lightning (connector) ,Computer science ,business.industry ,Supply chain ,020206 networking & telecommunications ,02 engineering and technology ,Food safety ,Computer Science Applications ,Dynamic programming ,Risk analysis (engineering) ,Hardware and Architecture ,Signal Processing ,0202 electrical engineering, electronic engineering, information engineering ,Key (cryptography) ,020201 artificial intelligence & image processing ,business ,Database transaction ,Edge computing ,Information Systems - Abstract
The recent COVID-19 pandemic pandemic has highlighted the importance of food safety and supply chain governance. In other words, we need to ensure traceability along the supply chain, support high-frequency transactions and effective data collections, etc. Thus, we posit the potential of using lightning network, which is a decentralized traceable paradigm for achieving high-frequency transactions in blockchain-based systems. In addition, we also utilize edge computing to help facilitate data collection. However, a key challenge in securing food supplies is determining the optimal global transaction path in lightning network, while achieving efficiency and meeting the dynamic nature of food supply management. Thus, we propose a blockchain-edge scheme that utilizes our proposed dynamic programming to produce optimal solutions to selecting global transaction paths. Specifically, our scheme optimizes routing fees under existing constraints (e.g., transmission cost, computing resource consumption, and lightning network balance). Findings from our evaluations demonstrate that the utility of our proposed approach in facilitating food safety management.
- Published
- 2022
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