TY - JOUR
T1 - Edge Computing and Lightning Network Empowered Secure Food Supply Management
AU - Gai, Keke
AU - Fang, Zhengkang
AU - Wang, Ruili
AU - Zhu, Liehuang
AU - Jiang, Peng
AU - Choo, Kim Kwang Raymond
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2022/8/15
Y1 - 2022/8/15
N2 - The recent COVID-19 pandemic has highlighted the importance of food safety and supply chain governance. In other words, we need to ensure traceability along the supply chain and support high-frequency transactions, effective data collections, etc. Thus, we posit the potential of using a 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 the 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 for selecting global transaction paths. Specifically, our scheme optimizes routing fees under existing constraints (e.g., transmission cost, computing resource consumption, and lightning network balance). The findings from our evaluations demonstrate the utility of our proposed approach in facilitating food safety management.
AB - The recent COVID-19 pandemic has highlighted the importance of food safety and supply chain governance. In other words, we need to ensure traceability along the supply chain and support high-frequency transactions, effective data collections, etc. Thus, we posit the potential of using a 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 the 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 for selecting global transaction paths. Specifically, our scheme optimizes routing fees under existing constraints (e.g., transmission cost, computing resource consumption, and lightning network balance). The findings from our evaluations demonstrate the utility of our proposed approach in facilitating food safety management.
KW - Blockchain
KW - dynamic programming
KW - edge computing
KW - food supply management
KW - lightning network
KW - optimization
UR - http://www.scopus.com/inward/record.url?scp=85136111988&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2020.3024694
DO - 10.1109/JIOT.2020.3024694
M3 - Article
AN - SCOPUS:85136111988
SN - 2327-4662
VL - 9
SP - 14247
EP - 14259
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 16
ER -