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

曾获荣誉:

2024-12-31  当选:  湖南省“芙蓉学者”特聘教授

2020-12-31  当选:  中南大学励志教师奖励

2010-12-31  当选:  湖南省青年骨干教师

2008-12-31  当选:  2008年获西南铝业优秀教师奖

当前位置: 邓晓衡 >> 论文成果

Leilei Wang, Xiaoheng Deng, Jinsong Gui, Honggang Zhang, Shui Yu, "Computation Placement Orchestrator for Mobile-Edge Computing in Heterogeneous Vehicular Networks," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2023.3304304. IEEE Internet of Things Journal. (中科院 1区, 2023)

发布时间:2024-03-13

点击次数:

摘要:Abstract—The vision of heterogeneous vehicle networks (HetVNETs) embraces various highly dynamic scenarios with urgent requirements for delay-sensitive and reliability-guaranteed computation placement. Incorporating mobile-edge computing (MEC) technology into computation placement has a significant potential to reduce computational delay and enhance communication reliability. However, vehicle mobility and resource constraints make the multivehicle scramble for communication and computational resources challenging. This article intends to investigate collaborative computing by comprehensively considering vehicle mobility, channel condition, and computational resources with two goals: 1) high-reliability transmission (HRT) and 2) computational delay minimization (CDM). Specifically, we develop a hybrid MEC-enabled computation placement orchestrator for HetVNET, where the HRT and CDM are formulated as mixed-integer programming and nonconvex optimization problems, respectively. To ensure high-reliability communication, we leverage the conditional value at risk theory to tackle the nonsmooth HRT problem. To solve the CDM problem, we transform it into two subproblems: resource allocation and task offloading problems, aiming at reducing computational delay and improving resource utilization. Furthermore, we construct an iterative optimization algorithm to capture the optimal computation placement scheme in closed form for the HRT and CDM problems. Performance evaluations show that the proposed methods can significantly improve communication reliability and reduce computational delay

备注:http://faculty.csu.edu.cn/dengxiaoheng/zh_CN/lwcg/10445/content/49303.htm

是否译文:

附件:

  • 6-Computation_Placement_Orchestrator_for_Mobile-Edge_Computing_in_Heterogeneous_Vehicular_Networks.pdf

  • 上一条: Weishang Wu, Xiaoheng Deng, Ping Jiang, Shaohua Wan, Yuanxiong Guo, "CrossFuser: Multi-Modal Feature Fusion for End-to-End Autonomous Driving Under Unseen Weather Conditions," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2023.3307589. IEEE Transactions on Intelligent Transportation Systems. (中科院 1区, 2023)

    下一条: Leilei Wang, Xiaoheng Deng, Jinsong Gui, Xuechen Chen, Shaohua Wan, "Microservice-Oriented Service Placement for Mobile Edge Computing in Sustainable Internet of Vehicles," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2023.3274307. (中科院 1区, 2023)