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Quasi-light Storage for Optical Data Packets

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Data storage and query optimization for Blockchain-based agricultural supply chains using storage light nodes.

Mei Sun^1,2, Na Luo^1,3, Xing Bin^1,3

¹National Engineering Research Center for Information Technology in Agriculture, Beijing, 100097, China.

Scientific Reports

|September 24, 2025

Summary

A new Storage Light Node (SLN) model enhances blockchain-based agricultural traceability by reducing storage by 95% and speeding up data retrieval. This makes blockchain more accessible for resource-constrained agricultural supply chains.

Keywords:

Agricultural product supply chain Blockchain Light node Query optimization Storage model

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Area of Science:

Agricultural Science
Computer Science
Information Technology

Background:

Agricultural supply chains generate vast amounts of data, leading to challenges in data management and traceability.
Traditional blockchain technology, while ensuring data integrity, suffers from high storage redundancy, increasing resource consumption and limiting participation for resource-constrained devices.

Purpose of the Study:

To propose a Storage Light Node (SLN) model tailored for the unique characteristics of agricultural product supply chains.
To address the limitations of full blockchain nodes in terms of storage and resource consumption within agricultural contexts.

Main Methods:

Developed an SLN model integrating a cold/hot data classification mechanism based on relevance, time, and frequency.
Implemented a query optimization strategy utilizing Bloom filters to enhance data retrieval speed.
Conducted experiments using 50,563 real-world agricultural product supply chain records.

Main Results:

The SLN model reduced storage usage by 95.10% compared to full nodes.
Achieved an average query time of 30.91 ms, significantly faster than traditional light nodes.
Demonstrated the model's efficiency and scalability for agricultural traceability.

Conclusions:

The proposed SLN model offers an efficient and scalable solution for blockchain-based agricultural traceability.
This approach effectively mitigates storage and resource constraints, enabling wider adoption of blockchain in agriculture.
The integration of data classification and query optimization significantly improves data management within agricultural supply chains.