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SCCA: A slicing-and coding-based consensus algorithm for optimizing storage in blockchain-based IoT data sharing

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Abstract

As the number of devices joining the Internet of Things (IoT) keeps increasing, vast amounts of data are being mined, and data sharing can exploit their considerable value. Owing to its advantages of decentralization, consistency, and traceability, blockchain technology can be used to build an efficient and reliable IoT data sharing system. To facilitate the use of blockchain in IoT devices, we design a new slicing- and coding-based consensus algorithm (SCCA). The proposed consensus algorithm considers the storage optimization of the blockchain ledger. Specifically, the SCCA slices and encodes consensus resources and divides the blockchain nodes into different domains. It allows multiple domains to perform consensus concurrently and collaborate to store the blockchain ledger. Finally, we construct an experimental platform and evaluate the scheme. Experimental results reveal that the SCCA can increase throughput by more than five times and reduce communication costs by 95.7%, compared to the practical Byzantine fault tolerance method. In addition, the SCCA can reduce the storage cost of a single node to approximately 28.5% of that of the Bitcoin system.

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Acknowledgements

This work was supported in part by the Major Scientific and Technological Projects in Yunnan Province under Grant 202002AB080001-8; in part by the Yunnan Key Laboratory of Blockchain Application Technology under Grant 202105AG070005 and Project YNB202109 and YNB202115; in part by the National Natural Science Foundation of China under Grant 61971208; in part by the Yunnan Reserve Talents of Young and Middle-Aged Academic and Technical Leaders (Shen Tao) under Grant 2019HB005; and in part by the Yunnan Young Top Talents of Ten Thousands Plan (Shen Tao, Zhu Yan, Yunren Social Development) under Grant 2018 73.

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Authors and Affiliations

  1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Jingming South Street, Kunming, 650093, Yunnan, China

    Pengge Chen, Fenhua Bai & Tao Shen

  2. Yunnan Key Laboratory of Computer Technologies Application, Kunming University of Science and Technology, Jingming South Street, Kunming, 650500, Yunnan, China

    Pengge Chen, Fenhua Bai & Tao Shen

  3. Faculty of Computer Science, Beijing University of Technology, Nanmofang Street, 100124, Beijing, China

    Bei Gong

  4. Shanghai Research Institute for Intelligent Autonomous System, Tongji University, Siping Streeti, 200092, Shanghai, China

    Lei Zhang

  5. Yunnan Provincial Academy of science and technology, Dianchi Street, Kunming, 650051, Yunnan, China

    Lin Huang & Zhengyuan An

  6. Department of Electronic Engineering, Balochistan University of Information Technology, Engineering, and Management Science, 87300, Quetta, Pakistan

    Talha Mir

  7. Research Center of Intelligent Perception and Autonomous Control, Faculty of Information Technology, Beijing University of Technology, Nanmofang Street, 100124, Beijing, China

    Shanshan Tu

  8. Computer Engineering Department, College of Information Technology, University of Bahrain, 32038, Sakhir, Bahrain

    Muhammad Waqas

  9. School of Engineering, Edith Cowan University, Perth, 6027, Australia

    Muhammad Waqas

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  1. Pengge Chen
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  2. Fenhua Bai
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  3. Tao Shen
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  7. Zhengyuan An
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  9. Shanshan Tu
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  10. Muhammad Waqas
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Correspondence to Tao Shen.

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Chen, P., Bai, F., Shen, T. et al. SCCA: A slicing-and coding-based consensus algorithm for optimizing storage in blockchain-based IoT data sharing. Peer-to-Peer Netw. Appl. 15, 1964–1978 (2022). https://doi.org/10.1007/s12083-022-01335-2

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  • DOI: https://doi.org/10.1007/s12083-022-01335-2

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