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

delete2024-01-01
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OA
AI
L
Linchao Zhang
L
Lei Hang
K
Keke Zu
Y
Yi Wang
K
Kun Yang *
DOI:10.1109/TVT.2024.3489629delete
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Abstract

Abstract

En 中文
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.
Keywords:
Smart cities
Heuristic algorithms
Data security
Scalability
Vehicle-to-infrastructure
Vehicular ad hoc networks
Throughput
Robustness
Blockchains
Vehicle dynamics
Blockchain
communication strategy
consensus algorithm
reputation mechanism
vehicle-to-everything (V2X) networking

Journal

IEEE Transactions on Vehicular Technology cover
IEEE Transactions on Vehicular Technology
IF:
7.1
Papers:
1.8W
Citations:
6.6W

Organization

S
Shanghai Normal University
Scholars:
7.4K
Papers: 5.0K
Citations: 8.0K