城市场景中车联网时空数据分析及其通达性方法

doi:10.11959/j.issn.1000-436x.2021110

Abstract

Abstract:

In order to solve the problems of diversity spatio-temporal data and low connectivity efficiency in a single road side unit for Internet of vehicles (IoV) in an urban scene, a spatio-temporal data analysis and accessibility method was presented.First, a spatio-temporal data analysis method based on de-noising and data filling was introduced, and a tensor factor aggregation-based neural network was constructed to predict connectivity intensity among vehicles.Then, a connectivity intensity prediction-based accessibility method was proposed.The simulation results demonstrate that the proposed connectivity intensity prediction method can accurately predict connectivity intensity among vehicles, and the proposed accessibility method can effectively reduce connectivity redundancy and loads of road side units.

Key words: Internet of vehicles, spatio-temporal data analysis, accessibility, urban scene

CLC Number:

TP391.9

Jiujun CHENG, Guiyuan YUAN, Jie CUI, Aiguo ZHOU, Bo LYU, Guangyao LI. Spatio-temporal data analysis and accessibility method for IoV in an urban scene[J]. Journal on Communications, 2021, 42(6): 52-61.

Figures/Tables 12

References 26

[1]	焦政达, 马建峰, 孙聪 ,等. 新的车辆远程诊断授权协议[J]. 通信学报, 2014,35(11): 146-153.
	JIAO Z D , MA J F , SUN C ,et al. New remote authorization protocol for vehicle diagnosis[J]. Journal on Communications, 2014,35(11): 146-153.
[2]	陈亮, 王军, 陈蓉 ,等. 车载自组织网视频流媒体协助下载研究[J]. 通信学报, 2019,40(1): 51-63.
	CHEN L , WANG J , CHEN R ,et al. Research on video streaming media cooperative downloading in vehicular ad hoc network[J]. Journal on Communications, 2019,40(1): 51-63.
[3]	ZHANG J , CUI J , ZHONG H ,et al. PA-CRT:Chinese remainder theorem based conditional privacy-preserving authentication scheme in vehicular ad-hoc networks[J]. IEEE Transactions on Dependable and Secure Computing, 2021,18(2): 722-735.
[4]	CUI J , ZHANG X Y , ZHONG H ,et al. Extensible conditional privacy protection authentication scheme for secure vehicular networks in a multi-cloud environment[J]. IEEE Transactions on Information Forensics and Security, 2020,15: 1654-1667.
[5]	CHEN C , HU J N , QIU T ,et al. CVCG:cooperative V2V-aided transmission scheme based on coalitional game for popular content distribution in vehicular ad-hoc networks[J]. IEEE Transactions on Mobile Computing, 2019,18(12): 2811-2828.
[6]	CHEN C , WANG C , QIU T ,et al. Caching in vehicular named data networking:architecture,schemes and future directions[J]. IEEE Communications Surveys ＆ Tutorials, 2020,22(4): 2378-2407.
[7]	CONTRERAS-CASTILLO J , ZEADALLY S , GUERRERO IBA?EZ J A . Solving vehicular ad hoc network challenges with Big Data solutions[J]. IET Networks, 2016,5(4): 81-84.
[8]	LIU Y S , CHEN X , CHEN C L ,et al. Traffic big data analysis supporting vehicular network access recommendation[C]// 2016 IEEE International Conference on Communications. Piscataway:IEEE Press, 2016: 1-6.
[9]	DU N B , ZHAN J F , ZHAO M ,et al. Spatio-temporal data index model of moving objects on fixed networks using HBase[C]// 2015 IEEE International Conference on Computational Intelligence ＆Communication Technology. Piscataway:IEEE Press, 2015: 247-251.
[10]	CHENG J J , YUAN G Y , ZHOU M C ,et al. A fluid mechanics-based data flow model to estimate VANET capacity[J]. IEEE Transactions on Intelligent Transportation Systems, 2020,21(6): 2603-2614.
[11]	ALTOMARE A , CESARIO E , COMITO C ,et al. Trajectory pattern mining for urban computing in the cloud[J]. IEEE Transactions on Parallel and Distributed Systems, 2017,28(2): 586-599.
[12]	KUMAR N , MISRA S , RODRIGUES J J P C ,et al. Coalition games for spatio-temporal big data in Internet of vehicles environment:a comparative analysis[J]. IEEE Internet of Things Journal, 2015,2(4): 310-320.
[13]	刘业, 吴国新 . 基于 802.11p/WAVE 的车联网连通性模型及其应用研究[J]. 通信学报, 2013,34(6): 85-91.
	LIU Y , WU G X.Study on the connectivity model of VANET based on 802 . 11p/WAVE and its application[J]. Journal on Communications, 2013,34(6): 85-91.
[14]	QURESHI K N , ABDULLAH A H , LLORET J ,et al. Road-aware routing strategies for vehicular ad hoc networks:characteristics and comparisons[J]. International Journal of Distributed Sensor Networks, 2016,12(3): 1605734.
[15]	ZHENG J , WANG Y . Connectivity analysis of vehicles moving on a highway with one entry and exit[J]. IEEE Transactions on Vehicular Technology, 2018,67(5): 4476-4486.
[16]	CHENG J J , YUAN G Y , ZHOU M C ,et al. Accessibility analysis and modeling for IoV in an urban scene[J]. IEEE Transactions on Vehicular Technology, 2020,69(4): 4246-4256.
[17]	CHENG J J , YUAN G Y , ZHOU M C ,et al. A connectivity-prediction-based dynamic clustering model for VANET in an urban scene[J]. IEEE Internet of Things Journal, 2020,7(9): 8410-8418.
[18]	GARDNER E S J . Exponential smoothing:the state of the art—part II[J]. International Journal of Forecasting, 2006,22(4): 637-666.
[19]	BRAKATSOULAS S , PFOSER D , TRYFONA N . Practical data management techniques for vehicle tracking data[C]// 21st International Conference on Data Engineering. Piscataway:IEEE Press, 2005: 324-325.
[20]	SARWAR B , KARYPIS G , KONSTAN J ,et al. Item-based collaborative filtering recommendation algorithms[C]// Proceedings of the 10th International Conference on World Wide Web. New York:ACM Press, 2001: 285-295.
[21]	SOCHER R , CHEN D , MANNING C D ,et al. Reasoning with neural tensor networks for knowledge base completion[J]. Advances in Neural Information Processing Systems, 2013,26: 926-934.
[22]	FIEDLER M . Algebraic connectivity of graphs[J]. Czechoslovak Mathematical Journal, 1973,23(2): 298-305.
[23]	ALEXIADIS V , COLYAR J , HALKIAS J ,et al. The next generation simulation program[J]. ITE Journal, 2004,74(8): 22-26.
[24]	CHENG J J , CHENG J L , ZHOU M C ,et al. Routing in Internet of vehicles:a review[J]. IEEE Transactions on Intelligent Transportation Systems, 2015,16(5): 2339-2352.
[25]	吴振华, 胡鹏 . VANET中路由协议分析[J]. 通信学报, 2015,36(S1): 75-84.
	WU Z H , HU P . Analysis on VANET routing protocols[J]. Journal on Communications, 2015,36(S1): 75-84.
[26]	KARP B , KUNG H T . GPSR:greedy perimeter stateless routing for wireless networks[C]// Proceedings of the 6th Annual International Conference on Mobile Computing and Networking. New York:ACM Press, 2000: 243-254.

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参数名称	参数值
道路长度/m	487
数据采集时间间隔/s	0.1
最大同向车道数量	6
数据记录数目	902 025
车辆数量/辆	1 601
通信距离/m	50
采样频率/Hz	10
路段个数	5
RSU辐射范围	一个路段

Spatio-temporal data analysis and accessibility method for IoV in an urban scene

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