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    宁兆龙

    • 副教授     硕士生导师
    • 主要任职:无
    • 性别:男
    • 毕业院校:东北大学
    • 学位:博士
    • 在职信息:在职
    • 所在单位:软件学院
    • 学科:软件工程 通信与信息系统
    • 联系方式:zhaolongning@dlut.edu.cn
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    Offloading in Internet of Vehicles: A Fog-Enabled Real-Time Traffic Management System

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    论文类型:期刊论文

    第一作者:Wang, Xiaojie

    通讯作者:Wang, L (reprint author), Dalian Univ Technol, Sch Software, Key Lab Ubiquitous Network & Serv Software Liaoni, Dalian 116023, Peoples R China.

    合写作者:Ning, Zhaolong,Wang, Lei

    发表时间:2018-10-01

    发表刊物:IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

    收录刊物:ESI高被引论文、ESI热点论文、SCIE

    卷号:14

    期号:10

    页面范围:4568-4578

    ISSN号:1551-3203

    关键字:Fog computing; Internet of vehicle; offloading; real-time processing; traffic management

    摘要:Fog computing has been merged with Internet of Vehicle (IoV) systems to provide computational resources for end users, by which low latency can be guaranteed. In this paper, we put forward a feasible solution that enables offloading for real-time traffic management in fog-based IoV systems, aiming to minimize the average response time for events reported by vehicles. First, we construct a distributed city-wide traffic management system, in which vehicles close to road side units can be utilized as fog nodes. Then, we model parked and moving vehicle-based fog nodes according to a queueing theory, and draw the conclusion that moving vehicle-based fog nodes can be modeled as an M/M/1 queue. An approximate approach is developed to solve the offloading optimization problem by decomposing it into two subproblems and scheduling traffic flows among different fog nodes. Performance analyses based on a real-world taxi-trajectory datasets are conducted to illustrate the superiority of our method.