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NB-IoT环境下基于区块链技术的智慧停车诱导系统信任评估研究

Research on Trust Evaluation of Intelligent Parking Guidance System Based on Blockchain Technology in NB-IoT Environment

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【作者】 黄宇达张矿伟赵红专李学威

【Author】 Huang Yuda;Zhang Kuangwei;Zhao Hongzhuan;Li Xuewei;College of Information & Engineering, Zhoukou Vocational and Technical College;College of Architecture and Transportation Engineering, Guilin University of Electronic Science and Technology;

【机构】 周口职业技术学院信息工程学院桂林电子科技大学建筑与交通工程学院

【摘要】 为解决智慧停车诱导系统中停车场、车辆、RSU设备之间存在的信息交互不可信及交易不可靠等问题,提出了一种基于区块链技术的信任评估机制。首先,通过对比各种通信方案优缺点,选择窄带物联网作为网络环境,搭建基于区块链技术的智慧停车诱导系统整体框架。其次,基于物联网节点行为考虑选择数据分组转发量、传输数据分组的重复率以及传输数据传输时延作为信任评估指标,引入分段线性函数,建立有等级划分的信任评估模型,结合智能合约形成可靠的交易凭证。最后,对基于区块链技术的停车信息交互过程进行优化,保证了信息交互的安全性。本文为智慧停车诱导系统的信任评估机制研究提供可靠理论基础。

【Abstract】 In order to solve the problems of unreliable information interaction and transaction among parking lot, vehicle and RSU equipment in intelligent parking guidance system, a trust evaluation mechanism based on blockchain technology is proposed. First, by comparing the advantages and disadvantages of various communication schemes, narrowband Internet of Things is selected as the network environment to build the overall framework of the intelligent parking guidance system based on blockchain technology. Secondly, based on the behavior of Internet of Things nodes, the amount of data packet forwarding, the repetition rate of transmitted data packets and the transmission time delay of transmitted data are selected as trust evaluation indicators. Piecewise linear function is introduced to establish a hierarchical trust evaluation model, the smart contract is combined to form a reliable transaction certificate. Finally, the parking information interaction process based on blockchain technology is optimized to ensure the security of information interaction. This paper provide a reliable theoretical basis for the research of trust evaluation mechanism of intelligent parking guidance system.

【基金】 河南省科技攻关项目(242102211034);国家自然科学基金项目(52362045)
  • 【文献出处】 科学技术创新 ,Scientific and Technological Innovation , 编辑部邮箱 ,2025年02期
  • 【分类号】U491.7;TP311.13
  • 【下载频次】36
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