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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References
Fang, Y., Min, H., Wu, X., Wang, W., Zhao, X., Mao, G.: On-ramp merging strategies of connected and automated vehicles considering communication delay. IEEE Trans. Intell. Transp. Syst. 23(9), 15298–15312 (2022)
Zhang, J., Li, T., Mohammad, S.O., Lin, C., Ma, J.: Enabling efficient data sharing with auditable user revocation for IoV systems. IEEE Syst. J. 16(1), 1–12 (2021)
Li, X., Zheng, Z., Dai, H.: When services computing meets blockchain: challenges and opportunities. J. Parallel Distrib. Comput. 150, 1–14 (2021)
Mei, Z., et al.: Secure multi-dimensional data retrieval with access control and range query in the cloud. Inf. Syst. 122, 102343 (2024)
Yao, S., Ralph, V.J.D., In-Ho, R., Xu, L., Mei, Z., Shi, J.: An identity-based proxy re-encryption scheme with single-hop conditional delegation and multi-hop ciphertext evolution for secure cloud data sharing. IEEE Trans. Inf. Forensics Secur. 18, 3833–3848 (2023)
Wu, Z., Liu, H., Xie, J., Xu, D., Li, G., Lu, C.: An effective method for the protection of user health topic privacy for health information services. World Wide Web 26, 3837–3859 (2023)
Feng, J., Yang, L.T., Zhang, R., Qiang, W., Chen, J.: Privacy preserving high-order bi-lanczos in cloud-fog computing for industrial applications. IEEE Trans. Ind. Inform 18, 7009–7018 (2020)
Feng, J., Yang, L.T., Zhu, Q., Choo, K.K.R.: Privacy-preserving tensor decomposition over encrypted data in a federated cloud environment. IEEE Trans. Dependable Secur. Comput 17, 857–868 (2018)
Pratima, S., Suyel, N., Ruben, G., Javier, P., Munesh, C.: EHDHE: enhancing security of healthcare documents in IoT-enabled digital healthcare ecosystems using blockchain. Inf. Sci. 629, 703–718 (2023)
Fan, L., et al.: A secured vehicle brain: DAO-based collaborative perception and decision-making systems for intelligent vehicles in CPSS. IEEE Trans. Intell. Veh. 9(1), 52–54 (2024)
Ma, C., Zhu, J., Liu, M., Zhao, H., Liu, N., Zou, X.: Parking edge computing: parked- vehicle-assisted task offloading for urban VANETs. IEEE Internet Things J. 8(11), 9344–9358 (2021)
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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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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