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Volume 44 Issue 1
Jan.  2022
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CHEN Yourong, ZHANG Yang, CHEN Hao, HAN Meng, LIU Banteng, REN Tiaojuan. Efficient Consistency Consensus Algorithm of Blockchain for Heterogeneous Nodes in the Internet of Vehicles[J]. Journal of Electronics & Information Technology, 2022, 44(1): 314-323. doi: 10.11999/JEIT201065
Citation: CHEN Yourong, ZHANG Yang, CHEN Hao, HAN Meng, LIU Banteng, REN Tiaojuan. Efficient Consistency Consensus Algorithm of Blockchain for Heterogeneous Nodes in the Internet of Vehicles[J]. Journal of Electronics & Information Technology, 2022, 44(1): 314-323. doi: 10.11999/JEIT201065

Efficient Consistency Consensus Algorithm of Blockchain for Heterogeneous Nodes in the Internet of Vehicles

doi: 10.11999/JEIT201065
Funds:  The Public Welfare Technology Application and Research Projects of Zhejiang Province of China (LGG19F010011)
  • Received Date: 2020-12-18
  • Rev Recd Date: 2021-07-17
  • Available Online: 2021-07-30
  • Publish Date: 2022-01-10
  • Because heterogeneous nodes of internet of vehicles have big performance difference and mobility, it leads that blockchain consensus algorithm has many problems, such as low transaction throughput and large transaction delay. Therefore, an Efficient Consistency Consensus Algorithm (ECCA) of blockchain for heterogeneous nodes in the internet of vehicles is proposed. In ECCA, the heterogeneous nodes of internet of vehicles which consists of verification nodes, general nodes and malicious nodes are considered. The credit rating mechanism is proposed to realize the classification of credit rating and division of three types of heterogeneous nodes. Then, a cross-region node identity change mechanism is proposed to adjust timely the node identity in the current region is proposed. Finally, an improved consensus algorithm is proposed to meet the timeliness requirement of the internet of vehicles. The simulation results show that the ECCA algorithm can reduce the impact of poorly performing general nodes and malicious nodes on the efficiency of block consensus, and increase transaction throughput and reduces average transaction delay and average node communication overhead.
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