通过区块链和去中心化自治组织实现 IoV 信息的并行管理

IF 14 1区工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

IEEE Transactions on Intelligent Vehicles Pub Date : 2024-02-22 DOI:10.1109/TIV.2024.3368510

Shuangshuang Han;Yongqiang Bai;Tianrui Zhang;Yueyun Chen;Chintha Tellambura

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引用次数: 0

摘要

随着智能交通技术的发展，车联网（IoV）面临着数据孤岛、安全和隐私问题、数据质量问题以及协作障碍等挑战。为应对各种挑战，本文提出了一种创新的集成方案，即 IoV 数据管理系统（IDMS）。该系统基于区块链和并行智能技术，旨在解决物联网领域所面临的挑战。该系统利用区块链去中心化、不可篡改、可追溯的特点，结合去中心化自治组织（DAO）的激励机制和协作模式，构建安全可信的数据共享平台，解决物联网领域的数据问题。这项研究结合了并行智能、区块链和 DAO 技术，为物联网信息管理提供了一个创新框架。拟议框架可实现对联网车辆系统的并行管理，从而提高安全性、可靠性和效率。此外，它还将促进车联网技术的发展和应用，为人们的出行体验提供更加智能、便捷和安全的服务。最后，停车数据共享案例研究验证了所设计系统的有效性，并展示了其解决物联网数据管理难题的潜力。

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Parallel Management of IoV Information Enabled by Blockchain and Decentralized Autonomous Organizations

With the development of intelligent transportation technologies, the Internet of Vehicles (IoV) faces challenges such as data silos, security and privacy concerns, data quality issues, and collaboration barriers. To address the various challenges, this paper proposes an innovative integration scheme called the IoV Data Management System (IDMS). This system is built upon blockchain and parallel intelligence technologies, aiming to solve the challenges presented in the IoV domain. The proposed system uses the decentralized, immutable and traceable characteristics of blockchain, combined with the incentive mechanism and collaboration model of decentralized autonomous organization (DAO), to build a secure and trusted data sharing platform to solve data problems in IoV. This research combines parallel intelligence, blockchain and DAO technologies to provide an innovative framework for IoV information management. The proposed framework enables parallel management of connected vehicle systems, thereby improving safety, reliability and efficiency. Furthermore, it would promote the development and application of vehicle networking technology, and provide more intelligent, convenient and safe services for people's travel experience. Finally, a parking data sharing case study validates the effectiveness of the designed system and demonstrates its potential to solve IoV data management challenges.

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来源期刊

IEEE Transactions on Intelligent Vehicles Mathematics-Control and Optimization

CiteScore

12.10

自引率

13.40%

发文量

177

期刊介绍： The IEEE Transactions on Intelligent Vehicles (T-IV) is a premier platform for publishing peer-reviewed articles that present innovative research concepts, application results, significant theoretical findings, and application case studies in the field of intelligent vehicles. With a particular emphasis on automated vehicles within roadway environments, T-IV aims to raise awareness of pressing research and application challenges. Our focus is on providing critical information to the intelligent vehicle community, serving as a dissemination vehicle for IEEE ITS Society members and others interested in learning about the state-of-the-art developments and progress in research and applications related to intelligent vehicles. Join us in advancing knowledge and innovation in this dynamic field.