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Performance Analysis of Blockchain-Based Internet of Vehicles Under the DSRC Architecture

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Communications and Networking (ChinaCom 2020)

Abstract

Blockchain technology has shown great potential in the Internet of Vehicles (IoV) in solving the problems of data sharing and information traceability. Understanding the relationship between the IoV communication architecture and the blockchain can facilitate designing dedicated blockchain enabled IoV systems. In this paper, a two-layer wireless blockchain network architecture based on Dedicated Short Range Communication (DSRC) is proposed. Then the M/G/1 queuing model is used to analyze the delivery process of the transaction under the unsaturated condition, and the Markov model is established to analyze the unicast service process. Finally, the verification process of the block in the Tangle consensus network is deduced. The simulation results show that the network load, channel conditions, queuing and backoff service processes in the wireless environment have a significant impact on the delay and throughput of the blockchain network, which further proves that the wireless environment is the main reason for limiting the performance of the Tangle blockchain network.

Q. Liu—The work is supported by the National Natural Science Foundation of China (61671096), Chongqing Natural Fund Key Project (No. cstc2019jcyj-zdxmX0008), Chongqing Science and Technology Innovation Leading Talent Support Program (CSTCCXLJRC201908), Science and Technology Research Program of Chongqing Municipal Education Commission (Grant No. KJZD-K201900605), and State Grid Corporation of China Technology Project (No. 5418-201971184A-0-0-00).

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Correspondence to Qilie Liu .

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Liu, Q., Lin, L., Li, Y., Liu, Y. (2021). Performance Analysis of Blockchain-Based Internet of Vehicles Under the DSRC Architecture. In: Gao, H., Fan, P., Wun, J., Xiaoping, X., Yu, J., Wang, Y. (eds) Communications and Networking. ChinaCom 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 352. Springer, Cham. https://doi.org/10.1007/978-3-030-67720-6_8

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  • DOI: https://doi.org/10.1007/978-3-030-67720-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67719-0

  • Online ISBN: 978-3-030-67720-6

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