IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v18y2022i3p15501477211064755.html
   My bibliography  Save this article

Second-degree branch structure blockchain expansion model

Author

Listed:
  • Qiang Liu
  • Baoyan Song
  • Junlu Wang

Abstract

The blockchain runs in a complex topological network which is affected by the principle of consensus, and data storage between nodes needs to maintain global consistency in the entire network, which causes the data storage inefficient. At the same time, the information exchange between large-scale communication node groups leads to the problems of bandwidth expropriation and excessive network load. In response to these problems, this article proposes a second-degree branch structure blockchain expansion model. First, a ternary storage structure is established. Data use the way of fully integrated storage, multi-cell storage, and fully split storage, and data are classified and stored in parallel between the structures. Second, a second-degree branch chain model is constructed. The main chain forks into multiple sub-chains, and a free competition chain structure and a Z-type chain structure are defined; a two-way rotation mechanism is introduced to realize the integration and transition between chain structures. Finally, a set of malicious attacks is simulated to realize the security constraints of the blockchain, to verify the security of the second-degree branch chain model. Experiment shows that the second-degree branch structure expansion model proposed in this article has great advantages in data storage efficiency and network load.

Suggested Citation

  • Qiang Liu & Baoyan Song & Junlu Wang, 2022. "Second-degree branch structure blockchain expansion model," International Journal of Distributed Sensor Networks, , vol. 18(3), pages 15501477211, March.
    • Handle: RePEc:sae:intdis:v:18:y:2022:i:3:p:15501477211064755
    DOI: 10.1177/15501477211064755
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/15501477211064755
    Download Restriction: no
    File URL: https://libkey.io/10.1177/15501477211064755?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Wang, Zibo & Yu, Xiaodan & Mu, Yunfei & Jia, Hongjie, 2020. "A distributed Peer-to-Peer energy transaction method for diversified prosumers in Urban Community Microgrid System," Applied Energy, Elsevier, vol. 260(C).
    2. István András Seres & László Gulyás & Dániel A. Nagy & Péter Burcsi, 2020. "Topological Analysis of Bitcoin’s Lightning Network," Springer Proceedings in Business and Economics, in: Panos Pardalos & Ilias Kotsireas & Yike Guo & William Knottenbelt (ed.), Mathematical Research for Blockchain Economy, pages 1-12, Springer.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Piotr Zuk & Pawel Zuk, 2022. "Prosumers in Action: The Analysis of Social Determinants of Photovoltaic Development and Prosumer Strategies in Poland," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 294-306, July.
    2. Yang, Yuyan & Xu, Xiao & Pan, Li & Liu, Junyong & Liu, Jichun & Hu, Weihao, 2024. "Distributed prosumer trading in the electricity and carbon markets considering user utility," Renewable Energy, Elsevier, vol. 228(C).
    3. Maarten Wolsink, 2020. "Framing in Renewable Energy Policies: A Glossary," Energies, MDPI, vol. 13(11), pages 1-31, June.
    4. Zabka, Philipp & Förster, Klaus-T. & Decker, Christian & Schmid, Stefan, 2024. "A centrality analysis of the Lightning Network," Telecommunications Policy, Elsevier, vol. 48(2).
    5. Liu, Jia & Yang, Hongxing & Zhou, Yuekuan, 2021. "Peer-to-peer trading optimizations on net-zero energy communities with energy storage of hydrogen and battery vehicles," Applied Energy, Elsevier, vol. 302(C).
    6. Matthew Gough & Sérgio F. Santos & Mohammed Javadi & Rui Castro & João P. S. Catalão, 2020. "Prosumer Flexibility: A Comprehensive State-of-the-Art Review and Scientometric Analysis," Energies, MDPI, vol. 13(11), pages 1-32, May.
    7. Gogulamudi Pradeep Reddy & Yellapragada Venkata Pavan Kumar & Maddikera Kalyan Chakravarthi & Aymen Flah, 2022. "Refined Network Topology for Improved Reliability and Enhanced Dijkstra Algorithm for Optimal Path Selection during Link Failures in Cluster Microgrids," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
    8. Vikash Kumar Saini & Chandra Shekhar Purohit & Rajesh Kumar & Ameena S. Al-Sumaiti, 2023. "Proof of Work Consensus Based Peer to Peer Energy Trading in the Indian Residential Community," Energies, MDPI, vol. 16(3), pages 1-25, January.
    9. García-Muñoz, Fernando & Dávila, Sebastián & Quezada, Franco, 2023. "A Benders decomposition approach for solving a two-stage local energy market problem under uncertainty," Applied Energy, Elsevier, vol. 329(C).
    10. Li, Shenglin & Zhu, Jizhong & Chen, Ziyu & Luo, Tengyan, 2021. "Double-layer energy management system based on energy sharing cloud for virtual residential microgrid," Applied Energy, Elsevier, vol. 282(PA).
    11. Barbara Siuta-Tokarska & Sylwia Kruk & Paweł Krzemiński & Agnieszka Thier & Katarzyna Żmija, 2022. "Digitalisation of Enterprises in the Energy Sector: Drivers—Business Models—Prospective Directions of Changes," Energies, MDPI, vol. 15(23), pages 1-21, November.
    12. Kaiye Gao & Tianshi Wang & Chenjing Han & Jinhao Xie & Ye Ma & Rui Peng, 2021. "A Review of Optimization of Microgrid Operation," Energies, MDPI, vol. 14(10), pages 1-39, May.
    13. Esmat, Ayman & de Vos, Martijn & Ghiassi-Farrokhfal, Yashar & Palensky, Peter & Epema, Dick, 2021. "A novel decentralized platform for peer-to-peer energy trading market with blockchain technology," Applied Energy, Elsevier, vol. 282(PA).
    14. Capper, Timothy & Gorbatcheva, Anna & Mustafa, Mustafa A. & Bahloul, Mohamed & Schwidtal, Jan Marc & Chitchyan, Ruzanna & Andoni, Merlinda & Robu, Valentin & Montakhabi, Mehdi & Scott, Ian J. & Franci, 2022. "Peer-to-peer, community self-consumption, and transactive energy: A systematic literature review of local energy market models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    15. Stennikov, Valery & Barakhtenko, Evgeny & Mayorov, Gleb & Sokolov, Dmitry & Zhou, Bin, 2022. "Coordinated management of centralized and distributed generation in an integrated energy system using a multi-agent approach," Applied Energy, Elsevier, vol. 309(C).
    16. Ge, Shaoyun & Li, Jifeng & He, Xingtang & Liu, Hong, 2021. "Joint energy market design for local integrated energy system service procurement considering demand flexibility," Applied Energy, Elsevier, vol. 297(C).
    17. Mohammad-Shafie, Mahdi & Assili, Mohsen & Shivaie, Mojtaba, 2024. "A flexible load-reliant cost-driven framework for peer-to-peer decentralized energy trading of a hydrogen/battery-enabled industrial town in the presence of multiple microgrids," Applied Energy, Elsevier, vol. 373(C).
    18. Wang, Zibo & Yu, Xiaodan & Mu, Yunfei & Jia, Hongjie & Jiang, Qian & Wang, Xiaoyu, 2021. "Peer-to-Peer energy trading strategy for energy balance service provider (EBSP) considering market elasticity in community microgrid," Applied Energy, Elsevier, vol. 303(C).
    19. Wu, Haochi & Qiu, Dawei & Zhang, Liyu & Sun, Mingyang, 2024. "Adaptive multi-agent reinforcement learning for flexible resource management in a virtual power plant with dynamic participating multi-energy buildings," Applied Energy, Elsevier, vol. 374(C).
    20. Zhang, Bidan & Du, Yang & Chen, Xiaoyang & Lim, Eng Gee & Jiang, Lin & Yan, Ke, 2022. "A novel adaptive penalty mechanism for Peer-to-Peer energy trading," Applied Energy, Elsevier, vol. 327(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:18:y:2022:i:3:p:15501477211064755. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.