面向车联网的智能数据传输新方法

doi:10.11959/j.issn.2096-3750.2019.00104

Abstract

Abstract:

Internet of vehicle (IoV) is a hot research topic of the intelligent transportation,and the research of new method of the intelligent data transmission is one of the key technologies.In order to solve the problem of intelligent data transmission of IoV,a kind of new method which includes the important parameters such as vehicle density,vehicle speed,data transmission rate and data delay was proposed.By setting up network model of IoV and delaying function,the optimal routing method for intelligent data transmission which is based on Markovian decision theory was designed.Through comparison experiments with the relative methods show that the performance on improving the data transmission rate and shortening the delay of data transmission of IoV,it has important value for many applications of intelligent transportation with IoV,such as vehicle dynamic remote monitoring.

Key words: Internet of vehicle, intelligent transportation, Markov decision theory, data transmission, delay

CLC Number:

TP393

Degan ZHANG,Pengzhen ZHAO,Jinxin GAO,Ting ZHANG,Changle GONG. New method of intelligent data transmission for IoV[J]. Chinese Journal on Internet of Things, 2019, 3(2): 89-99.

Figures/Tables 13

References 35

[1]	CHEN J Q , MAO G Q , ZHANG D G . Capacity of cooperative vehicular networks with infrastructure support:multi-user case[J]. IEEE Transactions on Vehicular Technology, 2018,67(2): 1546-1560.
[2]	SONG X D , WANG X . Extended AODV routing method based on distributed minimum transmission (DMT) for WSN[J]. International Journal of Electronics and Communications, 2015,69(1): 371-381.
[3]	ZHANG D G , LI G , ZHENG K . An energy-balanced routing method based on forward-aware factor for wireless sensor network[J]. IEEE Transactions on Industrial Informatics, 2014,10(1): 766-773.
[4]	ZHANG D G , WANG X , SONG X D . A novel approach to mapped correlation of ID for RFID anti-collision[J]. IEEE Transactions on Services Computing, 2014,7(4): 741-748.
[5]	ZHENG K , ZHANG T . A novel multicast routing method with minimum transmission for WSN of cloud computing service[J]. Soft Computing, 2015,19(7): 1817-1827.
[6]	ZHANG X D . Design and implementation of embedded uninterruptible power supply system (EUPSS) for Web-based mobile application[J]. Enterprise Information Systems, 2012,6(4): 473-489.
[7]	ZHANG D G . A new approach and system for attentive mobile learning based on seamless migration[J]. Applied Intelligence, 2012,36(1): 75-89.
[8]	ZHENG K . Novel quick start (QS) method for optimization of TCP[J]. Wireless Networks, 2016,22(1): 211-222.
[9]	KANG X J . A novel image de-noising method based on spherical coordinates system[J]. EURASIP Journal on Advances in Signal Processing, 2012,2012(110): 1-10.
[10]	WANG X . New clustering routing method based on PECE for WSN[J]. Journal on Wireless Communications and Networking, 2015,2015(162): 1-13.
[11]	SONG X G , WANG X . New agent-based proactive migration method and system for big data environment (BDE)[J]. Engineering Computations, 2015,32(8): 2443-2466.
[12]	ZHU Y N . A new constructing approach for a weighted topology of wireless sensor networks based on local-world theory for the Internet of things (IoT)[J]. Computers ＆ Mathematics with Applications, 2012,64(5): 1044-1055.
[13]	LIANG Y P . A kind of novel method of service-aware computing for uncertain mobile applications[J]. Mathematical and Computer Modelling, 2013,57(3): 344-356.
[14]	ZHAO C P . A new medium access control protocol based on perceived data reliability and spatial correlation in wireless sensor network[J]. Computers ＆ Electrical Engineering, 2012,38(3): 694-702.
[15]	MA Z . New AODV routing method for mobile wireless mesh network (MWMN)[J]. Intelligent Automation and Soft Computing, 2016,22(3): 431-438.
[16]	MA Z . Shadow detection of moving objects based on multisource information in Internet of things[J]. Journal of Experimental ＆ Theoretical Artificial Intelligence, 2017,29(3): 649-661.
[17]	MA Z . A novel compressive sensing method based on SVD sparse random measurement matrix in wireless sensor network[J]. Engineering Computations, 2016,33(8): 2448-2462.
[18]	LIU S , ZHANG T . Novel unequal clustering routing protocol considering energy balancing based on network partition ＆ distance for mobile education[J]. Journal of Network and Computer Applications, 2017,88(15): 1-9.
[19]	ZHOU S . A low duty cycle efficient MAC protocol based on self-adaption and predictive strategy[J]. Mobile Networks ＆ Applications, 2018,23(4): 828-839.
[20]	NIU H L . Novel PEECR-based clustering routing approach[J]. Soft Computing, 2017,21(24): 7313-7323.
[21]	NIU H L . Novel positioning service computing method for WSN[J]. Wireless Personal Communications, 2017,92(4): 1747-1769.
[22]	ZHOU S , CHEN J . New mixed adaptive detection algorithm for moving target with big data[J]. Journal of Vibroengineering, 2016,18(7): 4705-4719.
[23]	WANG X , SONG X D . New medical image fusion approach with coding based on SCD in wireless sensor network[J]. Journal of Electrical Engineering ＆ Technology, 2015,10(6): 2384-2392.
[24]	ZHOU S . New DV-distance method based on path for wireless sensor network[J]. Intelligent Automation and Soft Computing, 2017,23(2): 219-225.
[25]	CHATTERJEE P . A trust enhanced secure clustering framework for wireless Ad Hoc networks[J]. Wireless Networks, 2014,20(1): 1669-1684.
[26]	WANG X , SONG X D . A kind of novel VPF-based energy-balanced routing strategy for wireless mesh network[J]. International Journal of Communication Systems, 2017,30(6): 1-15.
[27]	ZHANG T , ZHANG J . A kind of effective data aggregating method based on compressive sensing for wireless sensor network[J]. EURASIP Journal on Wireless Communications and Networking, 2018,2018(159): 1-15.
[28]	ZHANG D G , GE H , ZHANG T . New multi-hop clustering algorithm for vehicular Ad Hoc networks[J]. IEEE Transactions on Intelligent Transportation Systems, 2018(7): 1-16.
[29]	ZHANG D G , ZHANG T . Novel optimized link state routing protocol based on quantum genetic strategy for mobile learning[J]. Journal of Network and Computer Applications, 2018,2018(122): 37-49.
[30]	GAO J X , LIU X H , ZHANG T . Novel approach of distributed ＆ adaptive trust metrics for MANET[J]. Wireless Networks, 2019,25(5): 1-16.
[31]	ZHANG T , LIU X H . Novel self-adaptive routing service algorithm for application of VANET[J]. Applied Intelligence, 2019,49(5): 1866-1879.
[32]	ZHANG D G , CHEN C . New method of energy efficient subcarrier allocation based on evolutionary game theory[J]. Mobile Networks and Applications, 2019,24(5): 1-15.
[33]	LIU S , LIU X H . Novel dynamic source routing protocol (DSR) based on genetic algorithm-bacterial foraging optimization (GA-BFO)[J]. International Journal of Communication Systems, 2018,31(18): 1-20.
[34]	TANG Y M , CUI Y Y . Novel reliable routing method for engineering of Internet of vehicles based on graph theory[J]. Engineering Computations, 2019,36(1): 226-247.
[35]	LIU S . Dynamic analysis for the average shortest path length of mobile Ad Hoc networks under random failure scenarios[J]. IEEE Access, 2019(7): 21343-21358.

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参数	数值
车辆的有效数量	15(10),20(15),…,150(100)
仿真时间	2h
无线设备	IEEE 802.11a
数据分组大小	1 024位
AP与车辆间的通信范围	120 m

New method of intelligent data transmission for IoV

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