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1. 华东交通大学信息工程学院,江西 南昌 330013
2. 北京交通大学电子信息工程学院,北京 100044
[ "董培养(1995- ),女,华东交通大学信息工程学院硕士生,主要研究方向为 5G 车联网通信、移动通信等。" ]
[ "赵军辉(1973- ),男,华东交通大学信息工程学院院长、教授、博士生导师,江西省车联网关键技术工程实验室主任,主要研究方向为移动通信、智能信息处理、物联网等。已在相关领域发表论文100余篇,曾获得省部级科学技术进步奖2项。" ]
[ "邹丹(1979- ),女,华东交通大学信息工程学院讲师、博士生,主要研究方向为移动通信、车联网通信等。" ]
[ "孙笑科(1993- ),女,北京交通大学电子信息工程学院博士生,主要研究方向为车辆边缘计算。" ]
网络出版日期:2019-03,
纸质出版日期:2019-03-20
移动端阅览
董培养, 赵军辉, 邹丹, 等. 一种新型卸载方案:基于停泊车辆中继的车载边缘任务卸载方案[J]. 电信科学, 2019,35(3):47-53.
Peiyang DONG, Junhui ZHAO, Dan ZOU, et al. A new offloading paradigm:vehicular edge task offloading based on parked vehicles relay[J]. Telecommunications science, 2019, 35(3): 47-53.
董培养, 赵军辉, 邹丹, 等. 一种新型卸载方案:基于停泊车辆中继的车载边缘任务卸载方案[J]. 电信科学, 2019,35(3):47-53. DOI: 10.11959/j.issn.1000-0801.2019055.
Peiyang DONG, Junhui ZHAO, Dan ZOU, et al. A new offloading paradigm:vehicular edge task offloading based on parked vehicles relay[J]. Telecommunications science, 2019, 35(3): 47-53. DOI: 10.11959/j.issn.1000-0801.2019055.
车载边缘计算(vehicular edge computing,VEC)是一种可实现车联网低时延和高可靠性的关键技术。VEC可解决车载终端计算能力不足的问题,同时可减少车联网通信服务时延,避免路边停泊车辆自身大量空闲资源浪费。提出基于停泊车辆中继的车载任务卸载方案,通过合理部署边缘服务器和引入协作中继技术,可将车联网通信过程中的时延降低至毫秒级。仿真结果表明,与传统的车与基础设施(vehicle to infrastructure, V2I)卸载方案相比,基于停泊车辆中继的车载任务卸载方案可将通信时延降低20%。
Vehicular edge computing (VEC) is a key technology that can realize low latency and high reliability in vehicular network.VEC can solve the problem of insufficient computing of vehicle terminals
and reduce the communication service delay of vehicular network
avoiding a large amount of waste of free resources in parked vehicles on the road.A task offloading scheme based on parked vehicles relay was proposed
which could reduce the delay in vehicles’ communication process into the millisecond level by rationally deploying the edge server and introducing the cooperative relay technology.Numerical results indicate that compared to direct V2I offloading model
the communication delay can be reduced by 20% in the parked vehicle relay transmission.
HUANG C , CHANG M , DAO D , et al . V2V data offloading for cellular network based on the software defined network (SDN) inside mobile edge computing (MEC) architecture [J ] . IEEE Access , 2018 ( 6 ): 17741 - 17755 .
ZHANG K , MAO Y M , LENG S P , et al . Mobile-edge computing for vehicular networks:a promising network paradigm with predictive off-loading [J ] . IEEE Vehicular Technology Magazine , 2017 , 12 ( 2 ): 36 - 44 .
ZHANG K , MAO Y M , LENG S P , et al . Delay constrained offloading for mobile edge computing in cloud-enabled vehicular networks [C ] // 2016 8th International Workshop on Resilient Networks Design and Modeling (RNDM),Sept 13-15,2016,Halmstad,Sweden . Piscataway:IEEE Press , 2016 : 288 - 294 .
ZHAO J H , CHEN Y , GONG Y . Study of connectivity probability of vehicle-to-vehicle and vehicle-to-infrastructure communication systems [C ] // IEEE 83rd Vehicular Technology Conference,May 15-18,2016,Nanjing,China . Piscataway:IEEE Press , 2016 : 1 - 4 .
REN J K , YU G D , CAI Y L , et al . Partial offloading for latency minimization in mobile-edge computing [C ] // 2017 IEEE Global Communications Conference,Dec 4-8,2017,Singapore . Piscataway:IEEE Press , 2017 : 1 - 6 .
QI Y L , TIAN L , ZHOU Y Q , et al . Mobile edge computing-assisted admission control in vehicular networks [J ] . IEEE Vehicular Magazine , 2019 , 14 ( 1 ): 37 - 44 .
HOU X H , LI Y , CHEN M , et al . Vehicular fog computing:a viewpoint of vehicles as the infrastructures [J ] . IEEE Transactions on Vehicular Technology , 2016 , 65 ( 6 ): 3860 - 3873 .
WANG S M , ZHANG Z H , YU R , et al . Low-latency caching with auction game in vehicular edge computing [C ] // 2017 IEEE/CIC International Conference on Communications in China (ICCC),Oct 13-16,2017,Qingdao,China . Piscataway:IEEE Press , 2017 : 1 - 6 .
CHOO S K , KIM J W , PACK S H . Optimal task offloading and resource allocation in software-defined vehicular edge computing [C ] // 2018 International Conference on Information and Communication Technology Convergence (ICTC),February 27-28,2018,Barcelona,Spain.[S.l.:s.n] . 2018 : 251 - 256 .
MA X T , ZHAO J H , GONG Y , et al . Key technologies of mec towards 5G-enabled vehicular networks [C ] // International Conference on Heterogeneous Networking for Quality,Dec 16-17,2017,Dalian,China . Springer,Cham , 2017 : 153 - 159 .
戈军 , 周莲英 . 面向停泊车辆的车载自组织网络(VANET)高效数据分发方案 [J ] . 科学技术与工程 , 2014 , 14 ( 1 ): 279 - 285 .
GE J , ZHOU L Y . An efficient data dissemination scheme for the roadside parked vehicles in VANETs [J ] . Science Technology and Engineering , 2014 , 14 ( 1 ): 279 - 285 .
ZHOU Y Q , TIAN L , LIU L , et al . Fog computing enabled future mobile communication networks:a convergence of communication and computing [J ] . IEEE Communication Magazine,2019,accepted .
李佐昭 , 刘金旭 . 移动边缘计算在车联网中的应用 [J ] . 现代电信科技 , 2017 , 47 ( 3 ): 37 - 41 .
LI Z Z , LIU J X . Application of mobile edge computing in vehicle networking [J ] . Modern Science & Technology of Telecommunications , 2017 , 47 ( 3 ): 37 - 41 .
周一青 , 李国杰 . 未来移动通信系统中的通信与计算融合 [J ] . 电信科学 , 2018 , 34 ( 3 ): 1 - 7 .
ZHOU Y Q , LI G J . Convergence of communication and computing in future mobile communication systems [J ] . Telecommunications Science , 2018 , 34 ( 3 ): 1 - 7 .
张建敏 , 谢伟良 , 杨峰义 , 等 . 移动边缘计算技术及其本地分流方案 [J ] . 电信科学 , 2016 , 32 ( 3 ): 136 - 139 .
ZHANG J M , XIE W L , YANG F Y , et al . Mobile edge computing technology and its local offloading scheme [J ] . Telecommunications Science , 2016 , 32 ( 3 ): 136 - 139 .
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