Shi Quan, Wang Lankai, Chen Chen
School of Transportation and Civil Engineering, Nantong University, Nantong, China.
School of Information Science and Technology, Nantong University, Nantong, China.
PeerJ Comput Sci. 2025 May 27;11:e2849. doi: 10.7717/peerj-cs.2849. eCollection 2025.
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.
随着车联网(IoV)中数据量的持续增长,诸如存储容量不足和潜在隐私泄露等挑战变得愈发突出。为解决这些问题,本文提出了一种具有激励机制的新型协作数据存储方案,即基于区块链的车联网激励机制协作数据存储(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。开发了两种算法:激励机制协作数据存储算法(I-CDSA)和数据卸载算法(DOA)。I-CDSA使用竞争矩阵激励RSU节点以最小化存储消耗,而DOA采用激励措施为卸载数据获取额外的云存储。实验结果表明,与通用并行数据库(GPDB)相比,CDS-BIoV方案可将存储消耗降低多达93%,尤其是随着块数量的增加,有效缓解了存储容量限制。