一种面向智慧交通的车联网网络流量估计方法

doi:10.19665/j.issn1001-2400.2021.03.005

Abstract

Abstract:

With the rapid deployment of 5G networks,the Internet of Vehicles (IoV),Internet of Things (IoT),and edge computing have made a great progress,which leads to vehicular network traffic measurements facing many challenges.To this end,the present paper studies the vehicular network traffic estimation problem for smart cities.A software-defined network (SDN)-based vehicular network traffic estimation method is proposed.A coarse-grained measurement value via an SDN architecture is designed.A fine-grained measurement model based on the autoregressive moving average (ARMA) model is constructed.Finally,a heuristic algorithm is presented to obtain accurate estimation results for vehicular network traffic.Simulation results indicate that the method proposed in this paper is feasible and effective.

Key words: smart city, internet of vehicles, edge computing, software-defined networking, network measurement

CLC Number:

TP393

LING Min,LUO Ying,YUAN Liang,JIN Chuanxue. Method for estimation of vehicular network traffic for smart transportations[J].Journal of Xidian University, 2021, 48(3): 40-48.

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[1]	李晓伟, 杨邓奇, 曾新, 等. 车联网环境下跨域间认证与密钥协商协议[J]. 西安电子科技大学学报, 2021,48(1):141-148.
	LI Xiaowei, YANG Dengqi, ZENG Xin, et al. Cross-domain Authentication and the Key Agreement Protocol In VANETs[J]. Journal of Xidian University, 2021,48(1):141-148.
[2]	GUAN K, HE D, AI B, et al. 5-GHz Obstructed Vehicle-to-vehicle Channel Characterization for Internet of Intelligent Vehicles[J]. IEEE Internet of Things Journal, 2019,6(1):100-110. doi: 10.1109/JIOT.2018.2872437
[3]	余晶. 基于窄带物联网的时间估计算法[J]. 电子技术与软件工程, 2019,19(17):17-19.
[4]	GHAFOOR K Z, KONG L, RAWAT D B, et al. Quality of Service Aware Routing Protocol in Software-defined Internet of Vehicles[J]. IEEE Internet of Things Journal, 2019,6(2):2817-2828. doi: 10.1109/JIoT.6488907
[5]	SHI W, CAO J, ZHANG Q, et al. Edge Computing:Vision and Challenges[J]. IEEE Internet of Things Journal, 2016,3(5):637-646. doi: 10.1109/JIOT.2016.2579198
[6]	SHIN C S, LEE J, LEE H, et al. Infrastructure-less Vehicle Traffic Density Estimation Via Distributed Packet Probing in V2V Network[J]. IEEE Transactions on Vehicular Technology, 2020,69(10):10403-10418. doi: 10.1109/TVT.25
[7]	SHI W, DUSTDAR S. The Promise of Edge Computing[J]. Computer, 2016,49(5):78-81.
[8]	CHEN X, ZHANG S, LI L, et al. Adaptive Rolling Smoothing with Heterogeneous Data for Traffic State Estimation and Prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2019,20(4):1247-1258. doi: 10.1109/TITS.2018.2847024
[9]	MAO Y, YOU C, ZHANG J, et al. A Survey on Mobile Edge Computing:The Communication Perspective[J]. IEEE Communications Surveys & Tutorials, 2017,19(4):2322-2358.
[10]	XIONG H, LIU J, ZHANG R, et al. An Accurate Vehicle and Road Condition Estimation Algorithm for Vehicle Networking Applications[J]. IEEE Access, 2019(7):17705-17715.
[11]	TALEB T, SAMDANIS K, MADA B, et al. On Multi-access Edge Computing:A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration[J]. IEEE Communications Surveys & Tutorials, 2017,19(3):1657-1681.
[12]	魏新艳, 张琳. 物联网中基于信任的频谱资源分配机制[J]. 计算机工程, 2020,46(4):26-32.
	WEI Xinyan, ZHANG Lin. Trust-basedspectrum Resource Allocation Mechanism in Interner of Things[J]. Computer Engineering, 2020,46(4):26-32.
[13]	孙列, 杨梓晗. 车联网中基于交通流量感知的数据路由[J]. 导航定位学报, 2021,9(1):130-134.
	SUN Lie, YANG Zihan. Traffic Volume-aware Data Routing in Vehicular Networks[J]. Journal of Navigation and Positioning, 2021,9(1):130-134.
[14]	赵蕙, 王良民. 基于SDN节点淆乱机制的接收方不可追踪的混合匿名通道[J]. 通信学报, 2019,40(10):55-65.
	ZHAO Hui, WANG Liangmin. Hybrid Anonymous Channel for Recipient Untraceability Via SDN-Based Node Obfuscation Scheme[J]. Journal on Communications, 2019,40(10):55-65.
[15]	HUO L, JIANG D, ZHU X, et al. A SDN-based Fine-grained Measurement and Modeling Approach to Vehicular Communication Network Traffic[J/OL]. [2020-10-10]. https://dol.org/10.1002/dac.4092.
[16]	JIANG D, WANG W, SHI L, et al. A Compressive Sensing-based Approach To End-to-end Network Traffic Reconstruction[J]. IEEE Transactions on Network Science and Engineering, 2020,7(1):507-519. doi: 10.1109/TNSE.6488902
[17]	JIANG D, HUO L, LI Y. Fine-granularity Inference and Estimations to Network Traffic for SDN[J/OL]. [2020-10-05]. https://doi.org/10.1371/journal.pone.0194302.
[18]	HUANG A, NIKAEIN N, STENBOCK T, et al. Low Latency MEC Framework for SDN-based LTE/LTE-A Networks[C]// Proceeding of ICC'17.Piscataway:IEEE, 2017: 1-6.
[19]	HUO L, JIANG D, ZHU X, et al. An SDN-based Fine-grained Measurement and Modeling Approach to Vehicular Communication Network Traffic[J/OL]. [2020-10-02]. https://xueshu.baidu.com/usercenter/paper/show?paperid=1v0800y05u1b0vh0ht7b02q047290696&site=xueshu_se.
[20]	凌敏, 张文金, 袁亮, 等. 面向边缘计算的物联网网络流量测量方法[J]. 重庆大学学报, 2021,44(1):67-77.
	LING Min, ZHANG Wenjin, YUAN Liang, et al. An Edge Computing-Based Network Traffic Measurement of the Internet of Things[J]. Journal of Chongqing University, 2021,44(1):67-77.
[21]	HUO L, JIANG D. Stackelberg Game-based Energy-efficient Resource Allocation for 5G Cellular Networks[J]. Telecommunication System, 2019,72:377-388. doi: 10.1007/s11235-019-00564-w
[22]	HUO L, JIANG D, LV Z. Soft Frequency Reuse-based Optimization Algorithm for Energy Efficiency of Multi-cell Networks[J]. Computers and Electrical Engineering, 2018,66(2):316-331. doi: 10.1016/j.compeleceng.2017.09.009
[23]	JIANG D, ZHANG P, LV Z, et al. Energy-efficient Multi-constraint Routing Algorithm with Load Balancing for Smart City Applications[J]. IEEE Internet of Things Journal, 2016,3(6):1437-1447. doi: 10.1109/JIOT.2016.2613111

Method for estimation of vehicular network traffic for smart transportations

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