Future vehicular fog computing networks

Ning HUI; Jie WU; Yiqing ZHOU; Ling LIU; Zhengang PAN

doi:10.11959/j.issn.1000-0801.2020175

您当前的位置：

首页 >

文章列表页 >

Future vehicular fog computing networks

Topic: Intelligent Edge Computing | 更新时间：2024-06-05

- Future vehicular fog computing networks
- Telecommunications Science Vol. 36, Issue 6, Pages: 14-27(2020)
- 作者机构：
  
  1. 中国科学院计算技术研究所，北京 100190
  2. 移动计算与新型终端北京市重点实验室，北京 100190
  3. 中国科学院大学，北京 100049
  4. 北京紫光展锐通信技术有限公司，北京 100190
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2020175
  CLC： TN911
- Published Online：2020-06，
  
  Published：20 June 2020
- 稿件说明：
移动端阅览
Ning HUI, Jie WU, Yiqing ZHOU, et al. Future vehicular fog computing networks[J]. Telecommunications science, 2020, 36(6): 14-27.
DOI：

Ning HUI, Jie WU, Yiqing ZHOU, et al. Future vehicular fog computing networks[J]. Telecommunications science, 2020, 36(6): 14-27. DOI： 10.11959/j.issn.1000-0801.2020175.

摘要

面向安全、可靠的车辆行驶需求，车联网对信息传输和处理的实时性要求高、对数据存储和使用的安全性要求高、对网络架构的灵活性和包容性要求高。未来车辆雾计算网络基于雾计算部署于网络边缘的特点，可降低数据的传输和处理时延；基于雾计算黑盒操作的特点，有利于保障数据安全；基于雾计算分布式架构，可实现异构车辆节点的互联互通与资源共享。对未来车辆雾计算网络进行了综述，介绍了车辆雾计算的架构、挑战与关键技术，着重分析移动状态下的通信与计算资源的共享与任务协同处理、车辆雾计算的安全性以及车辆雾计算设施的异构性。最后提出了车辆雾计算网络三级管控架构，推动车联网向网联协同决策与控制发展。

Abstract

Facing the requirements of secure and reliable vehicle driving

internet of vehicles requires high real-time information transmission and processing

high data storage and security using capacity

and high flexibility and inclusiveness of network architecture.The future vehicular fog computing network can reduce the data transmission and processing delay based on the characteristics of fog computing deployed at the edge of the network

can ensure data security based on the characteristics of fog computing black box operation

and can make heterogeneous facilities connect with other devices and make sure resource sharing between vehicle nodes based on the fog computing distributed architecture.The future vehicular fog computing networks were reviewed

the architecture

challenges

and key technologies of vehicle fog computing were introduced

the communication and computing resource sharing and task collaboration in the mobile state

vehicle fog computing security

and vehicle fog computing heterogeneity of facilities were focused on .Finally

a three-level management and control architecture for vehicular fog computing networks were proposed to promote the development of internet of vehicles to on-networking collaborative decision-making and control.

关键词

Keywords

references

ZHOU Y , TIAN L , LIU L , et al . Fog computing enabled future mobile communication networks:a convergence of communication and computing [J ] . IEEE Communication Magazine , 2019 , 57 ( 5 ): 20 - 27 .

LIU L , ZHOU Y , YUAN J , et al . Economically optimal MS association for multimedia content delivery in cache-enabled heterogeneous cloud radio access networks [J ] . IEEE JSAC , 2019 , 37 ( 7 ): 1584 - 1593 .

LIU L , ZHOU Y , ZHUANG W , et al . Tractable coverage analysis for hexagonal macrocell-based heterogeneous UDN with adaptive interference aware CoMP [J ] . IEEE Transactions on Wireless Communications , 2019 , 18 ( 1 ): 503 - 517 .

LIU L , ZHOU Y , GARCIA V , et al . Load aware joint CoMP clustering and inter-cell resource scheduling in heterogeneous ultra dense cellular networks [J ] . IEEE Transactions on Vehicular Technology , 2018 , 67 ( 3 ): 2741 - 2755 .

ZHOU Y , LIU H , PAN Z , et al . Cooperative multicast with location aware distributed mobile relay selection:performance analysis and optimized design [J ] . IEEE Transactions on Vehicular Technology , 2017 , 66 ( 9 ): 8291 - 8302 .

新华网 . 车联网产业发展报告 [EB ] . 2019 .

Xinhuanet . Report on the development of internet of vehicles industry [EB ] . 2019 .

互联网周刊 . 车联网与大数据时代将产生无数应用前景 [EB ] . 2014 .

Internet weekly . Internet of vehicles and big data era will produce numerous application prospect [EB ] . 2014 .

IEEE . STD 1934-2018 [S ] . 2018 .

BOMOMI F , . Connected vehicles,the internet of things,and fog computing [C ] // Proceedings of ACM International Workshop on Vehicular Inter-Networking (VANET) . New York:ACM Press , 2011 : 13 - 15 .

BONONMI F , MILITO R , ZHU J , et al . Fog computing and its role in the internet of things [C ] // Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing . New York:ACM Press , 2012 : 13 - 16 .

NI J , ZHANG A , LIN X , et al . Security,privacy,and fairness in fog-based vehicular crowdsensing [J ] . IEEE Communications Magazine , 2017 , 55 ( 6 ):146–152.

HUNG S , ZHANG X , FESTAG A , et al . Vehicle-centric network association in heterogeneous vehicle-to-vehicle networks [J ] . IEEE Transactions on Vehicular Technology , 2019 , 68 ( 6 ): 5981 - 5996 .

MILOSEVIC M , BJELICA M Z , MARUNA T , et al . Software platform for heterogeneous in-vehicle environments [J ] . IEEE Transactions on Consumer Electronics , 2018 , 64 ( 2 ): 213 - 221 .

RACHEDI A , BADIS H . BadZak:an hybrid architecture based on virtual backbone and software defined network for internet of vehicles [C ] // Proceedings of IEEE International Conference on Communications(ICC) . Piscataway:IEEE Press , 2018 : 1 - 7 .

LIU Y , FIELDSEND J E , MIN G . A framework of fog computing:architecture,challenges,and optimization [J ] . IEEE Access , 2017 ( 5 ): 25445 - 25454 .

HOU X , 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.

XIAO Y , ZHU C . Vehicular fog computing:vision and challenges [C ] // Proceedings of IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) . Piscataway:IEEE Press , 2017 6 - 9 .

TANZIL S M S , GHAREHSHIRAN O N , KRISHNAMURTHY V . Femto-cloud formation:a coalitional game-theoretic approach [C ] // Proceedings of IEEE Global Communications Conference . Piscataway:IEEE Press , 2014 : 1 - 6 .

OUEIS J , STRINATI E C , SARDELLITTI , et al . Small cell clustering for efficient distributed fog computing:a multi-user case [C ] // Proceedings of IEEE Vehicular Technology Conference . Piscataway:IEEE Press , 2016 : 1 - 5 .

VONDRA M , BECVAR Z . QoS-ensuring distribution of computation load among cloud-enabled small cells [C ] // Proceedings of 3rd IEEE International Conference on Cloud Networking . Piscataway:IEEE Press , 2014 : 197 - 203 .

LIAO H S , CHEN P Y , CHEN W T . An efficient downlink radio resource allocation with carrier aggregation in LTE-Advanced networks [J ] . IEEE Transactions on Mobile Computing , 2014 , 13 ( 13 ): 2229 - 2239 .

KLAIMI J , SENOUCI S M , MESSOUS M A . Theoretical game approach for mobile users resource management in a vehicular fog computing environment [C ] // Proceedings of 14th International Wireless Communications ＆ Mobile Computing Conference (IWCMC) . Piscataway:IEEE Press , 2018 : 452 - 457 .

WANG Z , ZHAO Z W , MIN G Y , et al . User mobility aware task assignment for mobile edge computing [J ] . Future Generation Computer Systems , 2018 ( 85 ): 1 - 8 .

WANG C , LI Y , JIN D . Mobility-assisted opportunistic computation offloading [J ] . IEEE Communications Letters , 2014 , 18 ( 10 ): 1779 - 1782 .

HOU X S , 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 .

NING Z L , HUANG J , WANG X J . Vehicular fog computing:enabling real-time traffic management for smart cities [J ] . IEEE Wireless Communications , 2019 , 26 ( 1 ): 87 - 93

ZHANG G W , SHEN F , YANG Y , et al . Fair task offloading among fog nodes in fog computing networks [C ] // Proceedings of IEEE International Conference on Communications(ICC) . Piscataway:IEEE Press , 2018 : 1 - 6 .

SUN F , HOU F , CHENG N , et al . Cooperative task scheduling for computation offloading in vehicular cloud [J ] . IEEE Transactions on Vehicular Technology , 2018 , 67 ( 11 ): 11049 - 11061 .

SUN Y , GUO X , ZHOU S , et al . Learning-based task offloading for vehicular cloud computing systems [C ] // Proceedings of IEEE International Conference on Communications(ICC) . Piscataway:IEEE Press , 2018 : 1 - 7 .

ZHU C , TAO J , PASTOR G , et al . Folo:latency and quality optimized task allocation in vehicular fog computing [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 3 ): 4150 - 4161 .

WANG Z , ZHONG Z D , NI M M . Application-aware offloading policy using SMDP in vehicular fog computing systems [C ] // Proceedings of IEEE International Conference on Communications(ICC) . Piscataway:IEEE Press , 2018 : 1 - 6 .

AUJLA G S , CHAUDHARY R , KUMAR N , et al . Data offloading in 5G-enabled software-defined vehicular networks:A stackelberg-game-based approach [J ] . IEEE Communications Magazine , 2017 , 55 ( 8 ): 100 - 108 .

BAO W , YUAN D , YANG Z J , et al . Follow me fog:toward seamless handover timing schemes in a fog computing environment [J ] . IEEE Communications Magazine , 2017 , 55 ( 11 ): 72 - 78 .

WANG K , SHEN M , BANERJEE J , et al . MobiScud:a fast moving personal cloud in the mobile network [C ] // Proceedings of Workshop on All Things Cellular:Operations . New York:ACM Press , 2015 : 19 - 24 .

WANG S , URGAONKAR R , HE T , et al . Mobility-induced service migration in mobile micro-clouds [C ] // Proceedings of IEEE Military Communications Conference . Piscataway:IEEE Press , 2014 : 835 - 840 .

KSENTINI A , TALEB T , CHEN M . A Markov decision processbased service migration procedure for follow me cloud [C ] // Proceedings of IEEE International Conference on Communications (ICC) . Piscataway:IEEE Press , 2014 : 1350 - 1354 .

TALEB T , KSENTINI A , FRANGOUDIS P . Follow-me cloud:when cloud services follow mobile users [J ] . IEEE Transactions on Cloud Computing , 2016 , 7 ( 2 ): 1350 - 1354 .

ZHANG F , LIU G , FU X , et al . A survey on virtual machine migration:challenges,techniques,and open issues [J ] . IEEE Communications Surveys ＆ Tutorials , 2018 , 20 ( 2 ): 1206 - 1243 .

黄语骁 . 车联网网络安全技术研究 [J ] . 电子世界 , 2018 ( 19 ): 49 - 50 .

HUANG Y X . Research on internet of vehicles network security technology [J ] . Electronic World , 2018 ( 19 ): 49 - 50 .

刘晓曼 , 罗成 , 田慧蓉 , 等 . 车联网网络安全管理与技术研究 [J ] . 电信网技术 , 2017 ( 4 ): 1 - 4 .

LIU X M , LUO C , TIAN H R , et al . Research on network security management and technology of internet of vehicles [J ] . Telecommunication Network Technology , 2017 ( 4 ): 1 - 4 .

周巍 , 朱雪田 , 夏旭 . 面向5G的车联网安全业务研究 [J ] . 电子技术应用 , 2019 , 45 ( 12 ): 34 - 37 .

ZHOU W , ZHU X T , XIA X . Research on 5G internet of vehicles security service [J ] . Electronic and Applied Technology , 2019 , 45 ( 12 ): 34 - 37 .

冯凯 , 李巍 , 龚洁中 . 车联网中密码算法应用现状分析 [J ] . 中国信息安全 , 2019 ( 9 ): 97 - 99 .

FENG K , LI W , GONG J Z . Analysis on the application status of cryptographic algorithms in internet of vehicles [J ] . China Information Security , 2019 ( 9 ): 97 - 99 .

KATZ M , PIRINEN P , POSTI H . Towards 6G:getting ready for the next decade [C ] // Proceedings of 16th International Symposium on Wireless Communication Systems (ISWCS) . Piscataway:IEEE Press , 2019 : 714 - 718 .

DAI Y Y , XU D , MAHARJAN S , et al . Blockchain and deep reinforcement learning empowered intelligent 5G beyond [J ] . IEEE Network , 2019 , 33 ( 3 ): 10 - 17 .

XIONG Z H , ZHANG Y , NIYATO D , et al . When mobile blockchain meets edge computing [J ] . IEEE Communications Magazine , 2018 , 56 ( 8 ): 33 - 39 .

WEISS M B H , WERBACH K , SICKER D C , et al . On the application of blockchains to spectrum management [J ] . IEEE Transactions on Cognitive Communications and Networking , 2019 , 5 ( 2 ): 193 - 205 .

DAI Y , XU D , MAHARJAN S , et al . Blockchain and deep reinforcement learning empowered intelligent 5G beyond [J ] . IEEE Network , 2019 , 33 ( 3 ): 10 - 17 .

WEISS M , WERBACH K , SICKER D , et al . On the application of blockchains to spectrum management [J ] . IEEE Transactions on Cognitive Communications and Networking , 2019 , 5 ( 2 ): 193 - 205 .

ZHOU Z , CHEN X , ZHANG Y , et al . Blockchain-empowered secure spectrum sharing for 5G heterogeneous networks [J ] . IEEE Network , 2020 , 34 ( 1 ): 24 - 31 .

SINGH M , KIM S . Crypto trust point (cTp) for secure data sharing among intelligent vehicles [C ] // Proceedings of International Conference on Electronics,Information,and Communications (ICEIC) . Piscataway:IEEE Press , 2018 : 1 - 4 .

SHARMA S , GHANSHALA K K , MOHAN S . Blockchainbased internet of vehicles (IoV):an efficient secure Ad Hoc vehicular networking architecture [C ] // Proceedings of IEEE 2nd 5G World Forum(5GWF) . Piscataway:IEEE Press , 2019 : 452 - 457 .

LEE S O , JUNG H , HAN B . Security assured vehicle data collection platform by blockchain:service provider’s perspective [C ] // Proceedings of 21st International Conference on Advanced Communication Technology (ICACT) . Piscataway:IEEE Press , 2019 : 265 - 268 .

夏景 . 基于工业互联网数据转化的船舶机械设备多元异构集成平台研究 [J ] . 船舶物资与市场 , 2019 ( 7 ): 34 - 35 .

XIA J . Research on multiple heterogeneous integration platform of Marine machinery and equipment based on industrial Internet data conversion [J ] . Marine Equipment Materials ＆ Marketing , 2019 ( 7 ): 34 - 35 .

QIAO G , LENG S , ZHANG K , et al . Collaborative task offloading in vehicular edge multi-access networks [J ] . IEEE Communications , 2018 , 56 ( 8 ): 48 - 54 .

AAZAM M , HUH E . Fog computing micro datacenter based dynamic resource estimation and pricing model for IoT [C ] // Proceedings of 2015 IEEE 29th International Conference on Advanced Information Networking and Applications . Piscataway:IEEE Press , 2015 : 687 - 694 .

EICHHORN M , PFANNENSTEIN M , MUHAR D . A SOA-based middleware concept for in-vehicle service discovery and device integration [C ] // Proceedings of IEEE Intelligent Vehicles Symposium . Piscataway:IEEE Press , 2010 : 663 - 669 .

CHEIKH F B , MASTOURI M A , HASNAOUI S . Implementing a Real-Time Middleware Based on DDS for the Cooperative Vehicle Infrastructure Systems [C ] // Proceedings of 6th International Conference on Wireless and Mobile Communications . Piscataway:IEEE Press , 2010 : 492 - 497 .

OUEDRAOGO C A , MEDJIAH S , CHASSOT C . A modular framework for dynamic QoS management at the middleware level of the IoT:application to a OneM2M compliant IoT platform [C ] // Proceedings of IEEE International Conference on Communications(ICC) . Piscataway:IEEE Press , 2018 : 1 - 7 .

LIU Y , WANG W , MA Y , et al . Distributed task offloading in heterogeneous vehicular crowd sensing [J ] . Sensors , 2016 , 16 ( 7 ):1090.

JIANG D , HUO L , LV Z , et al . A joint multi-criteria utility-based network selection approach for vehicle-to-infrastructure networking [J ] . IEEE Transactions on Intelligent Transportation Systems , 2018 , 19 ( 10 ): 3305 - 3319 .

CHAKKAPHONG S , SUN Z . Multi-hop broadcast protocol in intermittently connected vehicular networks [J ] . IEEE Transactions on Aerospace ＆Electronic Systems , 2018 ( 99 ):1.

TANG Y , CHENG N , WU W , et al . Delay-minimization routing for heterogeneous VANETs with machine learning based mobility prediction [J ] . IEEE Transactions on Vehicular Technology , 2019 , 68 ( 4 ): 3967 - 3979 .

ZHOU Z , XIONG F , XU C , et al . Energy-efficient vehicular heterogeneous networks for green cities [J ] . IEEE Transactions on Industrial Informatics , 2018 , 14 ( 4 ): 1522 - 1531 .

HUANG W , DING L , MENG D , et al . QoE-Based resource allocation for heterogeneous multi-radio communication in software-defined vehicle networks [J ] . IEEE Access , 2018 ( 6 ): 3387 - 3399 .

WANG T , CAO X , WANG S . Self-Adaptive clustering and load-bandwidth management for uplink enhancement in heterogeneous vehicular networks [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 3 ): 5607 - 5617 .

Views

1045

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Attack detection model based on stacking ensemble learning for Internet of vehicles

An intrusion detection model based on convolution neural network for Internet of vehicles

A computation offloading scheme for energy consumption optimization in Internet of vehicles

Review of optimal resource allocation scheme for 5G Internet of vehicles

Research on collaborative resource optimization technology based on convergence of computing, control and communication in Internet of vehicles

Related Author

ZHANG Sha

FANG Long

XU Huibin

ZHANG Rui

Xinjie YANG

Wenxuan GAO

Lei WANG

Chengyu ZHENG

Related Institution

School of Information Engineering, Huzhou University

Department of Information Engineering, Zhumadian Vocatiomal and Technical College

State key Laboratory of Networking and Switching Technology (Beijing University of Posts and Telecommunications)

Faculty of Electrical Engineering and Computer Science, Ningbo University

School of Transportation and Logistics, Southwest Jiaotong University

⁰