[go: up one dir, main page]

Previous Article in Journal
Multi-Dimensional Global Temporal Predictive Model for Multi-State Prediction of Marine Diesel Engines
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Blockchain-Based Cold Chain Traceability with NR-PBFT and IoV-IMS for Marine Fishery Vessels

by
Zheng Zhang
,
Haonan Zhu
and
Hejun Liang
*
College of Engineering Science and Technology, Shanghai Ocean University, Shanghai 201306, China
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2024, 12(8), 1371; https://doi.org/10.3390/jmse12081371 (registering DOI)
Submission received: 12 July 2024 / Revised: 1 August 2024 / Accepted: 9 August 2024 / Published: 11 August 2024
(This article belongs to the Section Ocean Engineering)

Abstract

Due to limited communication, computing resources, and unstable environments, traditional cold chain traceability systems are difficult to apply directly to marine cold chain traceability scenarios. Motivated by these challenges, we construct an improved blockchain-based cold chain traceability system for marine fishery vessels. Firstly, an Internet of Vessels system based on the Iridium Satellites (IoV-IMS) is proposed for marine cold chain monitoring. Aiming at the problems of low throughput, long transaction latency, and high communication overhead in traditional cold chain traceability systems, based on the Practical Byzantine Fault Tolerance (PBFT) consensus algorithm, a Node-grouped and Reputation-evaluated PBFT (NR-PBFT) is proposed to improve the reliability and robustness of blockchain system. In NR-PBFT, an improved node grouping scheme is designed, which introduces a consistent hashing algorithm to divide nodes into consensus and candidate sets, reducing the number of nodes participating in the consensus process, to lower communication overhead and transaction latency. Then, a reputation evaluation model is proposed to improve the node selection mechanism of NR-PBFT. It enhances the enthusiasm of nodes to participate in consensus, which considers the distance between fishery vessels, data size, and refrigeration temperature factors of nodes to increase throughput. Finally, we carried out experiments on marine fishery vessels, and the effectiveness of the cold chain traceability system and NR-PBFT were verified. Compared with PBFT, the transaction latency of NR-PBFT shortened by 81.92%, the throughput increased by 84.21%, and the communication overhead decreased by 89.4%.
Keywords: blockchain; marine fishery vessel; traceability; PBFT blockchain; marine fishery vessel; traceability; PBFT

Share and Cite

MDPI and ACS Style

Zhang, Z.; Zhu, H.; Liang, H. Blockchain-Based Cold Chain Traceability with NR-PBFT and IoV-IMS for Marine Fishery Vessels. J. Mar. Sci. Eng. 2024, 12, 1371. https://doi.org/10.3390/jmse12081371

AMA Style

Zhang Z, Zhu H, Liang H. Blockchain-Based Cold Chain Traceability with NR-PBFT and IoV-IMS for Marine Fishery Vessels. Journal of Marine Science and Engineering. 2024; 12(8):1371. https://doi.org/10.3390/jmse12081371

Chicago/Turabian Style

Zhang, Zheng, Haonan Zhu, and Hejun Liang. 2024. "Blockchain-Based Cold Chain Traceability with NR-PBFT and IoV-IMS for Marine Fishery Vessels" Journal of Marine Science and Engineering 12, no. 8: 1371. https://doi.org/10.3390/jmse12081371

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop