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Article | Open Access

An Improved Blockchain-Empowered Storage Service Based on Data Association

Bin Fang1Qi Yu1Han Wu2Xingxing Hou2Jingyu Zhang2( )
State Grid Information & Communication Company of Hunan Electric Power Corporation, Hunan Provincial Key Laboratory of Internet of Things in Electricity, Changsha, China
School of Computer Science and Technology, Changsha University of Science and Technology, Changsha, China
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Abstract

The integration of Internet of Things (IoT) with blockchain technology introduces significant challenges in handling massive and frequent transaction data generated by distributed IoT devices. The Unspent Transaction Output (UTXO) model, widely adopted in blockchain systems like Bitcoin, faces critical scalability issues when applied to IoT environments. This is because the datasets it processes expand rapidly, which consumes a large amount of memory and increases the disk access latency of resource-constrained IoT nodes. Existing optimization approaches exhibit limitations in dynamic adaptability and protocol compatibility. To address these challenges, we propose an improved blockchain-empowered storage service that introduces a data association-based multi-zone storage framework for UTXO-based blockchain systems. This service establishes a predictive model for UTXO access probability by analyzing IoT device transaction time intervals and address-specific frequencies. Subsequently, we design a dynamic three-zone storage framework that intelligently optimizes UTXO placement. Experimental results demonstrate that our approach significantly reduces disk access and optimizes memory usage compared with prevalent algorithms, while maintaining compatibility with existing UTXO-based protocols.

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Computers, Materials & Continua
Article number: 69

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Cite this article:
Fang B, Yu Q, Wu H, et al. An Improved Blockchain-Empowered Storage Service Based on Data Association. Computers, Materials & Continua, 2026, 88(2): 69. https://doi.org/10.32604/cmc.2026.080210

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Received: 04 February 2026
Accepted: 28 April 2026
Published: 15 June 2026
© The Author 2026.

This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.