邓晓衡

教授 博士生导师 硕士生导师

入职时间:2006-01-05

所在单位:电子信息学院

职务:院长

学历:博士研究生毕业

性别:男

联系方式:Email:dxh@csu.edu.cn

学位:博士学位

在职信息:在职

主要任职:湖南省数据传感与交换设备工程中心 主任 IEEE RS Chapter长沙 主席CCF普适计算专委 委员 CCF长沙 执委

毕业院校:中南大学

学科:信息与通信工程
计算机科学与技术

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J. Guo, A. Liu, K. Ota, M. Dong, X. Deng and N. N. Xiong, "ITCN: An Intelligent Trust Collaboration Network System in IoT," in IEEE Transactions on Network Science and Engineering, vol. 9, no. 1, pp. 203-218, 1 Jan.-Feb. 2022, doi: 10.1109/TNSE.2021.3057881. (JCR 1区)

发布时间:2024-03-13

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发表刊物:IEEE Transactions on Network Science and Engineering

摘要:Abstract—Artificial Intelligence (AI) technology has been widely applied to Internet of Thing (IoT) and one of key application is intelligence data collection from billions of IoT devices. However, many AI based data collection approaches lack security considerations leading to availability restricted. In this paper, an Intelligent Trust Collaboration Network System (ITCN) is established to collect data through collaboration with mobile vehicles and Unmanned Aerial Vehicle (UAV) for IoT. The first, a deadline-aware data collection collaboration network framework is proposed by collaboration with mobile vehicles and UAV. The second, an active and verifiable trust evaluation approach is proposed to obtain the trust of the data participants, which ensures the security and privacy of the system. The last, a trust joint AI based UAV trajectory optimization algorithm is proposed to collect as much baseline data as possible, so more trust of data participants can be accurately evaluated and the data can be collected before deadline at low cost. The simulation results show that ITCN reduces the cost by 35.08% compared with using the UAV only, saves the collection time by 58.32% and increases the accuracy by 33.34% on average compared with the previous strategies only using vehicles

备注:http://faculty.csu.edu.cn/dengxiaoheng/zh_CN/lwcg/10445/content/49283.htm

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  • 26-ITCN_An_Intelligent_Trust_Collaboration_Network_System_in_IoT.pdf

  • 上一条: Y. Deng, Z. Chen, X. Chen, X. Deng and Y. Fang, "How to Leverage Mobile Vehicles to Balance the Workload in Multi-Access Edge Computing Systems," in IEEE Transactions on Vehicular Technology, vol. 70, no. 11, pp. 12283-12286, Nov. 2021, doi: 10.1109/TVT.2021.3119189. (JCR 1区)

    下一条: L. Wang, J. Gui, X. Deng, F. Zeng and Z. Kuang, "Routing Algorithm Based on Vehicle Position Analysis for Internet of Vehicles," in IEEE Internet of Things Journal, vol. 7, no. 12, pp. 11701-11712, Dec. 2020, doi: 10.1109/JIOT.2020.2999469. (中科院 1区)