基于区块链的车联网协同数据存储与激励机制。

IF 3.5 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
PeerJ Computer Science Pub Date : 2025-05-27 eCollection Date: 2025-01-01 DOI:10.7717/peerj-cs.2849
Quan Shi, Lankai Wang, Chen Chen
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引用次数: 0

摘要

随着车联网(IoV)中的数据量不断增长,存储容量不足和潜在隐私泄露等挑战变得更加明显。为了解决这些问题,本文提出了一种具有激励机制的新型协作数据存储方案,称为基于区块链的基于IoV激励机制的协作数据存储(CDS-BIoV)。CDS-BIoV框架由车辆、路边单元(rsu)和云基础设施组成。在第一阶段,车辆收集数据并将其传输到最近的RSU节点。为了鼓励积极参与数据接收和存储,引入了一种激励机制来激励RSU节点。提出了激励机制协同数据存储算法(I-CDSA)和数据卸载算法(DOA)。I-CDSA使用竞争矩阵来激励RSU节点最小化存储消耗,而DOA则采用激励措施来确保额外的云存储以卸载数据。实验结果表明,与通用并行数据库(GPDB)相比,CDS-BIoV方案可减少高达93%的存储消耗,特别是当块数量增加时,有效地缓解了存储容量的限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A collaborative data storage with incentive mechanism for blockchain-based IoV.

As the volume of data in the Internet of Vehicles (IoV) continues to grow, challenges such as insufficient storage capacity and potential privacy breaches become more pronounced. To address these issues, this article proposes a novel collaborative data storage scheme with an incentivization mechanism, termed Blockchain-Based Collaborative Data Storage with Incentive Mechanism for IoV (CDS-BIoV). The CDS-BIoV framework consists of vehicles, roadside units (RSUs), and cloud infrastructure. In the first phase, vehicles collect and transmit data to their nearest RSU nodes. To encourage active participation in data reception and storage, an incentive mechanism is introduced to motivate RSU nodes. Two algorithms are developed: the Incentive Mechanism Collaborative Data Storage Algorithm (I-CDSA) and the Data Offloading Algorithm (DOA). The I-CDSA uses a competitiveness matrix to incentivize RSU nodes to minimize storage consumption, while the DOA employs incentives to secure additional cloud storage for offloading data. Experimental results show that the CDS-BIoV scheme reduces storage consumption by up to 93% compared to the Generic Parallel Database (GPDB), particularly as the number of blocks increases, effectively alleviating storage capacity limitations.

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来源期刊
PeerJ Computer Science
PeerJ Computer Science Computer Science-General Computer Science
CiteScore
6.10
自引率
5.30%
发文量
332
审稿时长
10 weeks
期刊介绍: PeerJ Computer Science is the new open access journal covering all subject areas in computer science, with the backing of a prestigious advisory board and more than 300 academic editors.
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