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A Scalable IoT Protocol via an Efficient DAG-Based Distributed Ledger Consensus

Author

Listed:
  • Bumho Son

    (Department of Industrial Engineering, Seoul National University, Seoul 08826, Korea)

  • Jaewook Lee

    (Department of Industrial Engineering, Seoul National University, Seoul 08826, Korea)

  • Huisu Jang

    (School of Finance, Soongsil University, 369 Sangdo-ro, Dongjak-gu, Seoul 06978, Korea)

Abstract

The Internet of Things (IoT) suffers from various security vulnerabilities. The use of blockchain technology can help resolve these vulnerabilities, but some practical problems in terms of scalability continue to hinder the adaption of blockchain for application in the IoT. The directed acyclic graph (DAG)-based Tangle model proposed by the IOTA Foundation aims to avoid transaction fees by employing a different protocol from that used in the blockchain. This model uses the Markov chain Monte Carlo (MCMC) algorithm to update a distributed ledger. However, concerns about centralization by the coordinator nodes remain. Additionally, the economic incentive to choose the algorithm is insufficient. The present study proposes a light and efficient distributed ledger update algorithm that regards only the subtangle of each step by considering the Bayesian inference. Experimental results have confirmed that the performance of the proposed methodology is similar to that of the existing methodology, and the proposed methodology enables a faster computation time. It also provides the same resistance to possible attacks, and for the same reasons, as does the MCMC algorithm.

Suggested Citation

  • Bumho Son & Jaewook Lee & Huisu Jang, 2020. "A Scalable IoT Protocol via an Efficient DAG-Based Distributed Ledger Consensus," Sustainability, MDPI, vol. 12(4), pages 1-11, February.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:4:p:1529-:d:322130
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    References listed on IDEAS

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    1. Jiani Wu & Nguyen Khoi Tran, 2018. "Application of Blockchain Technology in Sustainable Energy Systems: An Overview," Sustainability, MDPI, vol. 10(9), pages 1-22, August.
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    Cited by:

    1. Rico-Peña, Juan Jesús & Arguedas-Sanz, Raquel & López-Martin, Carmen, 2023. "Models used to characterise blockchain features. A systematic literature review and bibliometric analysis," Technovation, Elsevier, vol. 123(C).
    2. Abdelghani Bekrar & Abdessamad Ait El Cadi & Raca Todosijevic & Joseph Sarkis, 2021. "Digitalizing the Closing-of-the-Loop for Supply Chains: A Transportation and Blockchain Perspective," Sustainability, MDPI, vol. 13(5), pages 1-25, March.
    3. Bogdan Cristian Florea & Dragos Daniel Taralunga, 2020. "Blockchain IoT for Smart Electric Vehicles Battery Management," Sustainability, MDPI, vol. 12(10), pages 1-25, May.

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