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Highway accident rescue data sharing method based on dual-chain architecture and BBF-Merkle tree

Wang Guanghui1,2
Guan Daowei1
Shen Lingfeng1,2
Ding Shuang1,2
Zhai Zhonghao3
1. School of Software, Henan University, Kaifeng Henan 475000, China
2. Henan International Joint Laboratory of Intelligent Network Theory & Key Technology, Kaifeng Henan 475000, China
3. School of Computer Science & Software Engineering, Huaiyin Institute of Technology, Huai'an Jiangsu 223003, China

Abstract

The existing blockchain-based data sharing methods in highway accident rescue scenarios face efficiency bottlenecks and security issues. This paper proposed an efficient and secure data sharing solution to improve data query performance and ensure off-chain data integrity. The method used a dual-chain architecture that combines the advantages of public and consortium blockchains to enhance the security and efficiency of data sharing. It synchronized the summary information of shared data from the public blockchain to an external database and designed a BBF-Merkle tree-based database indexing structure to optimize query performance while maintaining off-chain data integrity. The method introduced a layered query scheme consisting of cache, off-chain database, and public blockchain to reduce overall query time. Experimental results show that the query time of the external database based on BBF-Merkle tree indexing outperformed other solutions. The cache-database-public blockchain layered query scheme achieves a faster query speed by seven times compared to the public blockchain based on smart contracts. The method improves data sharing efficiency, reduces query latency, and ensures data security and integrity, providing strong technical support for highway accident rescue data sharing.

Foundation Support

河南省科技攻关项目(242102211097,242102210139,252102210176,252102210232)
河南省交通运输厅科技项目(2023-3-2)
淮安市科技计划项目(HAB2024048)
河南大学研究生教育创新与质量提升工程项目(SYLYC2023134,SYLYC2022147)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.09.0292
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 4
Section: Technology of Blockchain
Pages: 987-994
Serial Number: 1001-3695(2025)04-003-0987-08

Publish History

[2024-11-20] Accepted Paper
[2025-04-05] Printed Article

Cite This Article

王光辉, 关道伟, 申凌峰, 等. 基于双链架构与BBF-Merkle树的高速公路事故救援数据共享方法 [J]. 计算机应用研究, 2025, 42 (4): 987-994. (Wang Guanghui, Guan Daowei, Shen Lingfeng, et al. Highway accident rescue data sharing method based on dual-chain architecture and BBF-Merkle tree [J]. Application Research of Computers, 2025, 42 (4): 987-994. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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