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Effective Capacity Analysis on Communication of Blockchain Synchronization Software-Defined Industrial Internet of Things

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Simulation Tools and Techniques (SIMUtools 2020)

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Abstract

For the blockchain network, the status of the account is saved via the checkpoint nodes, and updated. These knots are decentralized connected to each other. To get the current status, the IOT device must synchronize with the blockchain replica stored in the test bench. Delay prediction is an important indicator, to define the performance of software block chain Internet of things to knives. Based on the transport model generated by the synchronization protocol and the effective capacity (EC) theory of the wireless channel, the connections of QoS requests and key parameters of the synchronization protocol are studied. Simulation results show the effect of the new block creation rate on QoS level.

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Acknowledgements

This work is partly supported by Jiangsu technology project of Housing and Urban-Rural Development (No. 2018ZD265) and Jiangsu major natural science research project of College and University (No. 19KJA470002).

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Authors and Affiliations

  1. Jiangsu Province Key Laboratory of Intelligent Industry Control Technology, Xuzhou University of Technology, Xuzhou, 221018, China

    Yun Chen, Lei Chen, Ping Cui, Kailiang Zhang & Yuan An

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  1. Yun Chen
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  2. Lei Chen
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  3. Ping Cui
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  4. Kailiang Zhang
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  5. Yuan An
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Correspondence to Lei Chen .

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Editors and Affiliations

  1. Embry-Riddle Aeronautical University, Daytona Beach, FL, USA

    Houbing Song

  2. School of Astronautics and Aeronautic, UESTC, Chengdu, China

    Dingde Jiang

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Chen, Y., Chen, L., Cui, P., Zhang, K., An, Y. (2021). Effective Capacity Analysis on Communication of Blockchain Synchronization Software-Defined Industrial Internet of Things. In: Song, H., Jiang, D. (eds) Simulation Tools and Techniques. SIMUtools 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 370. Springer, Cham. https://doi.org/10.1007/978-3-030-72795-6_25

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  • DOI: https://doi.org/10.1007/978-3-030-72795-6_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72794-9

  • Online ISBN: 978-3-030-72795-6

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