Computer Science ›› 2020, Vol. 47 ›› Issue (1): 237-244.doi: 10.11896/jsjkx.190100178

• Computer Network • Previous Articles     Next Articles

Survey of SDN Applications in Vehicular Networks

GU Xiao-hui,ZHANG Guo-an   

  1. (School of Information Science and Technology,Nantong University,Nantong,Jiangsu 226019,China)
  • Received:2019-01-22 Published:2020-01-19
  • About author:GU Xiao-hui,born in 1995,postgradua-te.Her main research interests include vehicular network,mobile edge computing and cloud computing;ZHANG Guo-an,born in 1965,Ph.D,professor,Ph.D supervisor.His main research interests include vehicular network,and wireless communication network theory and technology.
  • Supported by:
    This work was supported by the Young Scientists Fund of National Natural Science Foundation of China (61801249).

Abstract: As vehicle applications,mobile devices and the Internet of Things (IoT) have been developing rapidly,building an efficient architecture to deal with big data in vehicular networks has become an important concern for the future smart city.Howe-ver,the complex and inflexible architecture of vehicular networks faces a set of challenges such as high mobility,intermittent connectivity,heterogeneity of applications.In this context,software defined network (SDN),with the programmable and flexible network architecture,has recently been gaining great attentions from research communities,businesses,and industries in wired network managements and heterogeneous wireless communications.Applying SDN to Vehicular Networks can significantly improve its flexibility,reliability,programmability and scalability,enhance the capacity of vehicular Networks in providing applications and services,and further improve the quality of experience of users.Firstly,the SDN framework was described.Secondly,the research progress of the software defined vehicular network (SDVN) was summarized from two perspectives:architectures and data dissemination.Then the current research state of SDVN combined with mobile edge computing (MEC) was surveyed.After that,exi-sting problems and challenges faced by SDVN were discussed.Finally,several SDVN application prospects were introduced.

Key words: Vehicular networks, Software defined network, Software defined vehicular networks, Intelligent transport system, Mobile edge computing, Cloud computing

CLC Number: 

  • TN92
[1]TRUONG N B,LEE G M,GHAMRI-DOUDANE Y.Software defined networking-based vehicular ad hoc network with fog computing [C]∥IFIP/IEEE International Symposium on Integrated Network Management.Piscataway:IEEE,2015:1202-1207.
[2]LIU J Q,WAN J F,WANG Q R,et al.A survey on position-based routing for vehicular ad hoc networks [J].Telecommunication Systems,2016,62(1):15-30.
[3]SHAH S A A,AHMED E,XIA F,et al.Adaptive beaconing ap- proaches for vehicular ad hoc networks:a survey [J].IEEE Systems Journal,2018,12(2):1263-1277.
[4]JABBARPOUR M R,MAREFAT A,JALOOLI A,et al.Could-based vehicular networks:a taxonomy,survey,and conceptual hybrid architecture [J].Wireless Networks,2017(1):1-20.
[5]TALEB T,SAMDANIS K,MADA B,et al.On multi-access edge computing:A survey of the emerging 5G network edge architecture & orchestration[J].IEEE Communications Surveys &Tutorials,2017,19(3):1657-1681.
[6]CHEN M,QIAN Y F,HAO Y X,et al.Data-driven computing and caching in 5G networks:Architecture and delay analysis [J].IEEE Wireless Communications,2018,25(1):70-75.
[7]LIU L,ZHOU J T.Review for research of control plane in software-defined network [J].Computer Science,2017,44(2):75-81.
[8]TRIVISONNO R,GUERZONI R,VAISHNAVI I,et al.SDN-based 5G mobile networks:architecture,functions,procedures and backward compatibility [J].Transactions on Emerging Tele-communications Technologies,2015,26(1):82-92.
[9]VIZARRETA T P,TRIVEDI K,HELVIK B,et al.Assessing the maturity of SDN controllers with software reliability growth models [J].IEEE Transactions on Network and Service Ma-nagement,2018,15(3):1090-1104.
[10]SEZER S,SCOTTHAYWARD S,CHOUHAN P K,et al.Are we ready for SDN? Implementation challenges for software-defined networks [J].IEEE Communications Magazine,2013,51(7):36-43.
[11]OPEN NETWORK FOUNDATION (ONF).Software-defined networking:the new norm for networks [EB/OL].(2014-11-10) [2018-12-12].http://connection.ebscohost.com/c/articles/99813922/software-defined-networking-new-norm-networks.
[12]ZHANG C K,CUI Y,TANG Y W,et al.State-of-the-art survey on software-defined networking (SDN)[J].Journal of Software,2015,26(1):62-81.
[13]LIU J Q,WAN J F,ZENG B,et al.A scalable and quick-response software defined vehicular network assisted by mobile edge computing [J].IEEE Communications Magazine,2017,55(7):94-100.
[14]TOMOVIC S,YOSHIGOE K,MALJEVIC I,et al.Software-defined fog network architecture for IoT [J].Wireless Personal Communications An International Journal,2017,92(1):181-196.
[15]ZHENG K,ZHENG Q,CHATZIMISIOS P,et al.Heterogeneous vehicular networking:A survey on architecture,challenges and solutions [J].IEEE Communications Surveys & Tutorials,2017,17(4):2377-2396.
[16]ZHANG S J,LAN J L,HU Y X,et al.Survey on scalability of control plane in software-defined networking [J].Journal of Software,2018,29(1):160-175.
[17]KUO J J,SHEN S H,KANG H Y,et al.Service chain embedding with maximum flow in software defined network and application to the next-generation cellular network architecture[C]∥IEEE INFOCOM 2017-IEEE Conference on Computer Communications.Piscataway:IEEE,2017:1-9.
[18]SHUAI Z,MEDHI D.Application-aware network design for hadoop mapreduce optimization using software-defined networking [J].IEEE Transactions on Network & Service Management,2017,14(4):804-816.
[19]KU I,LU Y,GERLA M,et al.Towards software-defined VANET:architectures and services [C]∥13th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET).Piscataway:IEEE,2014:103-110.
[20]SALAHUDDIN M A,ALFUQAHA A,GUIZANI M.Software-defined networking for RSU clouds in support of the internet of vehicles[J].IEEE Internet of Things Journal,2015,2(2):133-144.
[21]HE Z J,CAO J N,LIU X F.SDVN:enabling rapid network innovation for heterogeneous vehicular communication[J].IEEE Network,2016,30(4):10-15.
[22]TRUONG N B,LEE G M,GHAMRI-DOUDANE Y.Software defined networking-based vehicular ad hoc network with fog computing [C]∥IFIP/IEEE International Symposium on Integrated Network Management (IM).Piscataway:IEEE,2015:1202-1207.
[23]GE X,LI Z P,LI S K.5G software defined vehicular networks [J].IEEE Communications Magazine,2017,55(7):87-93.
[24]KAZMI A,KHAN M A,AKRAM M U.DeVANET:Decentra- lized software-defined VANET architecture [C]∥IEEE International Conference on Cloud Engineering Workshop.Piscataway:IEEE,2016:42-47.
[25]CORREIA S,BOUKERCHE A,MENEGUETTE R I.An architecture for hierarchical software-defined vehicular networks [J].IEEE Communications Magazine,2017,55(7):80-86.
[26]RAWASHDEH Z Y,MAHMUD S M.A novel algorithm to form stable clusters in vehicular ad hoc networks on highways [J].EURASIP Journal on Wireless Communications and Networking,2012,2012(1):1-13.
[27]SUDHEERA K L K,MA M,ALI G G M N,et al.Delay effi- cient software defined networking based architecture for vehicular networks [C]∥IEEE International Conference on Communication Systems.Piscataway:IEEE,2017:1-6.
[28]XIAO X F,KUI X Y.The characterizes of communication contacts between vehicles and intersections for software-defined vehicular networks [J].Mobile Networks & Applications,2015,20(1):98-104.
[29]ALIOUA A,SENOUCI S M,MOUSSAOUI S,et al.Software-defined heterogeneous vehicular networks:taxonomy and architecture [C]∥Global Information Infrastructure & Networking Symposium.Piscataway:IEEE,2017:50-55.
[30]REMY G,SENOUCI S M,JAN F,et al.LTE4V2X:LTE for a centralized VANET organization [C]∥Global Telecommunications Conference.Piscataway:IEEE,2012:1-6.
[31]REMY,SENOUCI,JAN,et al.LTE4V2X- Collection,dissemination and multi-hop forwarding [C]∥IEEE International Conference on Communications.Piscataway:IEEE,2012:120-125.
[32]LIU Y C,CHEN C,CHAKRABORTY S.A software defined network architecture for GeoBroadcast in VANETs[C]∥IEEE International Conference on Communications (ICC).Piscataway:IEEE,2015:6559-6564.
[33]HE Z J,ZHANG D Q,LIANG J B.Cost-efficient sensory data transmission in heterogeneous software defined vehicular networks [J].IEEE Sensors Journal,2016,16(20):7342-7354.
[34]LIU K,NG J K Y,LEE V C S,et al.Cooperative data scheduling in hybrid vehicular ad hoc networks:VANET as a software defined network [J].IEEE/ACM Transactions on Networking,2016,24(3):1759-1773.
[35]AZIZIAN M,CHERKAOUI S,HAFID A S.Vehicle software updates distribution with SDN and cloud computing[J].IEEE Communications Magazine,2017,55(8):74-79.
[36]MACH P,BECVAR Z.Mobile Edge Computing:A survey on architecture and computation offloading[J].IEEE Communications Surveys & Tutorials,2017,19(3):1628-1656.
[37]MAO Y Y,YOU C S,ZHANG J,et al.A survey on mobile edge computing:The communication perspective[J].IEEE Communications Surveys & Tutorials,2017,19(4):2322-2358.
[38]ZHANG Z X,BOUKERCHE A,PAZZI R.A novel multi-hop clustering scheme for vehicular ad-hoc networks[C]∥Procee-dings of the 9th ACM International Workshop on Mobility Management & Wireless Access.New York:ACM,2011:19-26.
[39]HUANG X M,YU R,KANG J W,et al.Exploring mobile edge computing for 5G-enabled software defined vehicular networks [J].IEEE Wireless Communications,2017,24(6):55-63.
[40]HE Y,LIANG C C,ZHANG Z,et al.Resource allocation in software-defined and information-centric vehicular networks with mobile edge computing [C]∥IEEE 86th Vehicular Tech-nology Conference (VTC-Fall).Piscataway:IEEE,2018:1-5.
[41]WANG K,YIN H,QUAN W,et al.Enabling collaborative edge computing for software defined vehicular networks [J].IEEE Network,2018,32(5):1-6.
[42]AKHUNZADA A,AHMED E,GANI A,et al.Securing soft- ware defined networks:taxonomy,requirements,and open issues [J].IEEE Communications Magazine,2015,53(4):36-44.
[43]KARMAKAR K K,VARADHARAJAN V,TUPAKULA U. Mitigating attacks in software defined network (SDN) [C]∥Fourth International Conference on Software Defined Systems.Piscataway:IEEE,2017:1-8.
[44]WANG T,CHENG G Z.Research on software-defined network and the security defense technology [J].Journal on Communications,2017,38(11):137-164.
[45]HWANG R H,TSENG H P.Load balancing and routing mecha- nism based on software defined network in data centers [C]∥International Computer Symposium (ICS).Piscataway:IEEE,2017:165-170.
[46]CHAUDHARY R,AUJLA G S,KUMAR N,et al.Optimized big data management across multi-cloud data centers:software-defined-network-based analysis [J].IEEE Communications Magazine,2018,56(2):118-126.
[47]ZHAO J L,HUA Q,ZHAO J H,et al.Towards controller placement problem for software-defined network using affinity propagation [J].Electronics Letters,2017,53(14):928-929.
[48]NOKIA.SDN Nuage networks[EB/OL].[2019-1-22].http://www.nuagenetworks.net/.
[49]NOKIA.IoT for smart cities [EB/OL].[2019-1-22].https://networks.nokia.com/services/iot-for-smart-cities.
[50]VOLPE NATIONAL TRANSPORTATION SYSTEMS CENTER.Safety pilot model deployment lessons learned and recommendations for future connected vehicle activities [EB/OL].(2015-10-19) [2019-1-22].https://www.its.dot.gov/index.htm.
[1] LIANG Jun-bin, TIAN Feng-sen, JIANG Chan, WANG Tian-shu. Survey on Task Offloading Techniques for Mobile Edge Computing with Multi-devices and Multi-servers in Internet of Things [J]. Computer Science, 2021, 48(1): 16-25.
[2] ZHNAG Kai-qi, TU Zhi-ying, CHU Dian-hui, LI Chun-shan. Survey on Service Resource Availability Forecast Based on Queuing Theory [J]. Computer Science, 2021, 48(1): 26-33.
[3] YU Tian-qi, HU Jian-ling, JIN Jiong, YANG Jian-feng. Mobile Edge Computing Based In-vehicle CAN Network Intrusion Detection Method [J]. Computer Science, 2021, 48(1): 34-39.
[4] MAO Ying-chi, ZHOU Tong, LIU Peng-fei. Multi-user Task Offloading Based on Delayed Acceptance [J]. Computer Science, 2021, 48(1): 49-57.
[5] LI Rui-xiang, MAO Ying-chi, HAO Shuai. Cache Management Method in Mobile Edge Computing Based on Approximate Matching [J]. Computer Science, 2021, 48(1): 96-102.
[6] GUO Fei-yan, TANG Bing. Mobile Edge Server Placement Method Based on User Latency-aware [J]. Computer Science, 2021, 48(1): 103-110.
[7] LEI Yang, JIANG Ying. Anomaly Judgment of Directly Associated Nodes Under Cloud Computing Environment [J]. Computer Science, 2021, 48(1): 295-300.
[8] XU Yun-qi, HUANG He, JIN Zhong. Application Research on Container Technology in Scientific Computing [J]. Computer Science, 2021, 48(1): 319-325.
[9] LI Yan, SHEN De-rong, NIE Tie-zheng, KOU Yue. Multi-keyword Semantic Search Scheme for Encrypted Cloud Data [J]. Computer Science, 2020, 47(9): 318-323.
[10] MA Xiao-xiao and HUANG Yan. Publicly Traceable Accountable Ciphertext Policy Attribute Based Encryption Scheme Supporting Large Universe [J]. Computer Science, 2020, 47(6A): 420-423.
[11] ZHANG Ju, WANG Hao, LUO Shu-ting, GENG Hai-jun, YIN Xia. Hybrid Software Defined Network Energy Efficient Routing Algorithm Based on Genetic Algorithm [J]. Computer Science, 2020, 47(6): 236-241.
[12] JIN Xiao-min, HUA Wen-qiang. Energy Optimization Oriented Resource Management in Mobile Cloud Computing [J]. Computer Science, 2020, 47(6): 247-251.
[13] SUN Min, CHEN Zhong-xiong, YE Qiao-nan. Workflow Scheduling Strategy Based on HEDSM Under Cloud Environment [J]. Computer Science, 2020, 47(6): 252-259.
[14] HU Jin-tian, WANG Gao-cai, XU Xiao-tong. Task Migration Strategy with Energy Optimization in Mobile Edge Computing [J]. Computer Science, 2020, 47(6): 260-265.
[15] LIANG Jun-bin, ZHANG Min, JIANG Chan. Research Progress of Social Sensor Cloud Security [J]. Computer Science, 2020, 47(6): 276-283.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] LEI Li-hui and WANG Jing. Parallelization of LTL Model Checking Based on Possibility Measure[J]. Computer Science, 2018, 45(4): 71 -75 .
[2] SUN Qi, JIN Yan, HE Kun and XU Ling-xuan. Hybrid Evolutionary Algorithm for Solving Mixed Capacitated General Routing Problem[J]. Computer Science, 2018, 45(4): 76 -82 .
[3] ZHANG Jia-nan and XIAO Ming-yu. Approximation Algorithm for Weighted Mixed Domination Problem[J]. Computer Science, 2018, 45(4): 83 -88 .
[4] WU Jian-hui, HUANG Zhong-xiang, LI Wu, WU Jian-hui, PENG Xin and ZHANG Sheng. Robustness Optimization of Sequence Decision in Urban Road Construction[J]. Computer Science, 2018, 45(4): 89 -93 .
[5] SHI Wen-jun, WU Ji-gang and LUO Yu-chun. Fast and Efficient Scheduling Algorithms for Mobile Cloud Offloading[J]. Computer Science, 2018, 45(4): 94 -99 .
[6] ZHOU Yan-ping and YE Qiao-lin. L1-norm Distance Based Least Squares Twin Support Vector Machine[J]. Computer Science, 2018, 45(4): 100 -105 .
[7] LIU Bo-yi, TANG Xiang-yan and CHENG Jie-ren. Recognition Method for Corn Borer Based on Templates Matching in Muliple Growth Periods[J]. Computer Science, 2018, 45(4): 106 -111 .
[8] GENG Hai-jun, SHI Xin-gang, WANG Zhi-liang, YIN Xia and YIN Shao-ping. Energy-efficient Intra-domain Routing Algorithm Based on Directed Acyclic Graph[J]. Computer Science, 2018, 45(4): 112 -116 .
[9] CUI Qiong, LI Jian-hua, WANG Hong and NAN Ming-li. Resilience Analysis Model of Networked Command Information System Based on Node Repairability[J]. Computer Science, 2018, 45(4): 117 -121 .
[10] WANG Zhen-chao, HOU Huan-huan and LIAN Rui. Path Optimization Scheme for Restraining Degree of Disorder in CMT[J]. Computer Science, 2018, 45(4): 122 -125 .