Blockchain Implementation for Analysis of Carbon Footprint across Food Supply Chain
Blockchain Implementation for Analysis of Carbon Footprint across Food Supply Chain
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DOI：
10.1109/blockchain.2019.00079
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发表时间：
2019-07
期刊：
影响因子：
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通讯作者：
Denisolt Shakhbulatov;Arshit Arora;Z. Dong;R. Rojas-Cessa
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文献类型：
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作者：
Denisolt Shakhbulatov;Arshit Arora;Z. Dong;R. Rojas-Cessa
全球人口的不断增长和随之而来的粮食需求的不断增加对环境产生了巨大影响，从而对气候产生了巨大影响。目前正在努力减少碳足迹，以减轻这些影响。计算食品的碳足迹是复杂的，需要食品供应链所有利益相关者的合作。需要一个记录系统来跟踪碳足迹，同时保护相关方的隐私。本文提出了一种新的区块链实现，用于跟踪食品生产和运输阶段的碳足迹。我们设计了一个系统，使用基于集群的记录保存来跟踪食品加工设施和运输方的碳足迹，同时保护他们的隐私。我们实现了所提出的碳足迹链，并在不同的场景下评估其吞吐量和延迟。我们证明了我们的区块链实现能够在没有任何可扩展性问题的情况下与大量节点一起运行。
The growing global population and the consequential increasing food demand have had a great impact on the environment and thus on the climate. Efforts are being made to reduce carbon footprint to mitigate such effects. Calculating the carbon footprint of food products is complex and requires the cooperation of all the stakeholders of the food supply chain. A record keeping system for tracking carbon footprint while preserving privacy for the related parties is needed. This paper presents a new implementation of blockchain for tracking of carbon footprint on food production and transportation stages. We designed a system that tracks the carbon footprint of food processing facilities and transportation parties using cluster-based record keeping while preserving their privacy. We implemented the proposed carbon footprint chain and evaluated its throughput and latency under different scenarios. We show that our blockchain implementation is capable of operating with a larger number of nodes without any scalability issues.