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A Blockchain PoW Consensus Mechanism Based on Edge Computing in the IoVs

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Edge Computing – EDGE 2024 (EDGE 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15424))

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Abstract

The explosive increase of vehicles and the emergence of novel businesses such as driverless driving have presented fresh challenges to the data security of the IoVs (Internet of Vehicles). To ensure data security, a trusted decentralized distributed storage approach for managing and storing information proves to be a feasible solution. The blockchain enables distributed nodes to jointly maintain a consistent and tamper-proof ledger, facilitating trusted storage and transmission of information among distributed nodes. However, the consensus mechanism of the blockchain demands that miners in the system possess strong computing power for mining computations. Unfortunately, the performance of nodes in the IoVs is limited and fails to meet these requirements, significantly restricting the application of the blockchain in the IoVs. This paper proposes a blockchain consensus mechanism based on edge computing, with roadside node RSU serving as the edge server to undertake the task of miners for mining, in order to address the issues of insufficient computing power and unstable topology of vehicle nodes. Simulation experiments indicate that the consensus mechanism proposed in this paper has lower total costs, including total energy consumption and delay, compared to the PoW consensus mechanism that uses vehicle nodes as miners.

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Acknowledgment

This work is supported by the National Science Foundation of China (No. 62341206, 62062045), Jiangxi Natural Science Foundation (No. 20232BAB202053), Zhejiang Province Visiting Engineer Cooperation Project (No. FG2023061), Natural Science Fund of Heilongjiang Province in 2022 (No. LH2022G001).

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Correspondence to Mingzhu Ge .

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Xu, L., Ge, M., Zhang, C., Shi, J., Dong, X., Li, H. (2025). A Blockchain PoW Consensus Mechanism Based on Edge Computing in the IoVs. In: Zeng, J., Zhang, LJ. (eds) Edge Computing – EDGE 2024. EDGE 2024. Lecture Notes in Computer Science, vol 15424. Springer, Cham. https://doi.org/10.1007/978-3-031-77069-2_6

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  • DOI: https://doi.org/10.1007/978-3-031-77069-2_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-77068-5

  • Online ISBN: 978-3-031-77069-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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