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

doi:10.11959/j.issn.1000-0801.2019055

Abstract

Abstract:

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.

Key words: vehicular edge computing, static relay, offloading scheme

CLC Number:

TN929.5

Peiyang DONG,Junhui ZHAO,Dan ZOU,Xiaoke SUN. A new offloading paradigm:vehicular edge task offloading based on parked vehicles relay[J]. Telecommunications Science, 2019, 35(3): 47-53.

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References 15

[1]	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.
[2]	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.
[3]	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.
[4]	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.
[5]	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.
[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.
[7]	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.
[8]	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.
[9]	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.
[10]	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.
[11]	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.
[12]	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.
[13]	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.
[14]	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.
[15]	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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