Dynamic Vehicle Reputation Consensus: Enhancing IoV Communication With a Blockchain Algorithm

As smart cities rapidly evolve, the Vehicle-to-Everything (V2X) network faces significant challenges in data security and communication efficiency. This paper introduces an innovative algorithm based on a reputation mechanism, named the Dynamic Vehicle Reputation Consensus (DVRC), which focuses on improving the data security and communication efficiency of vehicular networks using blockchain technology. The DVRC algorithm comprehensively assesses vehicle behaviors and the consensus contribution within the blockchain network, utilizing a reputation scoring system to evaluate the reliability within the network. Furthermore, this study delves into multimodal communication strategies in vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) scenarios. Notably, when vehicles leave the range of basic infrastructure, those with high reputation scores (as determined by the DVRC's reputation values) relay the communication service. Additionally, the introduction of a reputation incentive mechanism and dynamic consensus threshold adjustments aim to improve consensus efficiency and encourage honest behavior. Experimental results demonstrate that the DVRC algorithm significantly improves communication efficiency in blockchain-based vehicular networks, such as increased throughput, reduced latency, and improved network scalability. These advances have substantial theoretical and practical significance for the development of vehicular networks in smart cities.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2024-11-13
DOI
https://doi.org/10.1109/tvt.2024.3489629
Citations
14
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
10.91
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article

Dynamic Vehicle Reputation Consensus: Enhancing IoV Communication With a Blockchain Algorithm

Lei Hang, Yi Wang, Kun Yang, Linchao Zhang et al.
14 citations
IEEE Transactions on Vehicular Technology
Blockchain Technology Applications and Security
10.91
article

Dynamic Vehicle Reputation Consensus: Enhancing IoV Communication With a Blockchain Algorithm

Lei Hang, Yi Wang, Kun Yang, Linchao Zhang, Keke Zu
article en
14 citations

Abstract

As smart cities rapidly evolve, the Vehicle-to-Everything (V2X) network faces significant challenges in data security and communication efficiency. This paper introduces an innovative algorithm based on a reputation mechanism, named the Dynamic Vehicle Reputation Consensus (DVRC), which focuses on improving the data security and communication efficiency of vehicular networks using blockchain technology. The DVRC algorithm comprehensively assesses vehicle behaviors and the consensus contribution within the blockchain network, utilizing a reputation scoring system to evaluate the reliability within the network. Furthermore, this study delves into multimodal communication strategies in vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) scenarios. Notably, when vehicles leave the range of basic infrastructure, those with high reputation scores (as determined by the DVRC's reputation values) relay the communication service. Additionally, the introduction of a reputation incentive mechanism and dynamic consensus threshold adjustments aim to improve consensus efficiency and encourage honest behavior. Experimental results demonstrate that the DVRC algorithm significantly improves communication efficiency in blockchain-based vehicular networks, such as increased throughput, reduced latency, and improved network scalability. These advances have substantial theoretical and practical significance for the development of vehicular networks in smart cities.

IEEE Transactions on Vehicular TechnologyVol. 74(3)
University of Electronic Science and Technology of China (CN), Shanghai Normal University (CN), Quzhou University (CN)
Openalex Percentile: Top 2%
Blockchain Technology Applications and Security
10.91
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Dynamic Vehicle Reputation Consensus: Enhancing IoV Communication With a Blockchain Algorithm — Lei Hang, Yi Wang, et al. · IEEE Transactions on Vehicular Technology (2024) | TGRS Research Map | TGRS