Browse > Article
http://dx.doi.org/10.3837/tiis.2021.02.023

Exploring the Influence of Vehicle Mobility on Information Spreading in VANETs  

Li, Zhigang (School of Computer and Communication Engineering, Zhengzhou University of Light Industry)
Wang, Xin (School of Computer and Communication Engineering, Zhengzhou University of Light Industry)
Yue, Xinan (School of Computer and Communication Engineering, Zhengzhou University of Light Industry)
Ji, Yingli (Henan Co. Ltd, China Mobile Communications Group)
Wang, Hua (School of Computer and Communication Engineering, Zhengzhou University of Light Industry)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.15, no.2, 2021 , pp. 800-813 More about this Journal
Abstract
With the advent of 5G communications, internet of vehicles technology has been widely used in vehicles. Then the dynamic spread of information between vehicles began to come into focus with more research. It is well known that the identification of nodes with great spread influence has always been a hot topic in the field of information spreading. Most of the existing work measures the propagation influence by degree centrality, betweenness centrality and closeness centrality. In this paper, we will identify influential vehicle nodes based on the mobility characteristics of vehicles to explore the information spreading between vehicles in VANETs. Different from the above methods, we mainly explore the influence of the radius of gyration and vehicle kilometers of travel on information spreading. We use a real vehicle trajectory data to simulate the information transmission process between vehicles based on the susceptible-infected-recovered SIR model. The experimental results show that the influence of information spreading does not enhance with increasing radius of gyration and vehicle kilometers of travel. The fact is that both the radius of gyration and the distance travelled have a significant influence on information spreading when they are close to the median. When the value of both is large or small, it has little influence on information spreading. In view of this results, we can use the radius of gyration and vehicle kilometers of travel to better facilitate the transmission of information between vehicles.
Keywords
Information Spreading; Vehicle Mobility; Radius of Gyration; Vehicle Kilometers of Travel; VANETs;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 B. Mohammed and D. Naouel, "An Efficient Greedy Traffic Aware Routing Scheme for Internet of Vehicles," Computers, Materials & Continua, vol. 60, no. 3, pp. 959-972, Sep. 2019.
2 L. Lu, D. Chen, X. L. Ren, Q. M. Zhang, Y. C. Zhang, and T. Zhou, "Vital nodes identification in complex networks," Physics Reports-review Section of Physics Letters, vol. 650, pp. 1-63, Sep. 2016.
3 S. Al-Sultan, M. M. Al-Doori, A. H. Al-Bayatti, and H. Zedan, "A comprehensive survey on vehicular ad hoc network," Journal of network and computer applications, vol. 37, pp. 380-392, Jan. 2014.   DOI
4 J. Shen, T. Zhou, J. Lai, P. Li, and S. Moh, "Secure and Efficient Data Sharing in Dynamic Vehicular Networks," IEEE Internet of Things Journal, vol. 7, no. 9, pp. 8208-8217, Sep. 2020.   DOI
5 D. Chen, L. Lu, M. S. Shang, Y. C. Zhang, and T. Zhou, "Identifying influential nodes in complex networks," Physica a: Statistical Mechanics and its Applications, vol. 391, no. 4, pp. 1777-1787, Feb. 2012.   DOI
6 Y. Du, C. Gao, Y. Hu, S. Mahadevan, and Y. Deng, "A new method of identifying influential nodes in complex networks based on TOPSIS," Physica A: Statistical Mechanics and its Applications, vol. 399, pp. 57-69, Apr. 2014.   DOI
7 Z. Gao, Y. Shi, and S. Chen, "Measures of node centrality in mobile social networks," International Journal of Modern Physics C, vol. 26, no. 09, Sep. 2015.
8 M. Kitsak, L. K. Gallos, S. Havlin, F. Liljeros, L. Muchnik, H. E. Stanly, and H. A. Makse, "Identification of influential spreaders in complex networks," Nature physics, vol. 6, no. 11, pp. 888-893, Nov. 2010.   DOI
9 R. Shrestha, R. Bajracharya, A. P. Shrestha, and S. Y. Nam, "A new type of blockchain for secure message exchange in VANET," Digital Communications and Networks, vol. 6, no. 2, pp. 177-186, May 2020.
10 D. Wei, X. Deng, X. Zhang, Y. Deng, and S. Mahadevan, "Identifying influential nodes in weighted networks based on evidence theory," Physica A: Statistical Mechanics and its Applications, vol. 392, no. 10, pp. 2564-2575, May 2013.   DOI
11 M. Marques, C. Senna, and S. Sargento, "Evaluation of Strategies for Emergency Message Dissemination in VANETs," in Proc. of IEEE Symposium on Computers and Communications, pp. 1-6, July 2020.
12 W. Wang, S. S. Liao, X. Li, and J. S. Ren, "The process of information propagation along a traffic stream through intervehicle communication," IEEE Transactions on Intelligent Transportation Systems, vol. 15, no. 1, pp. 345-354, Feb. 2013.   DOI
13 Y. Bi, H. Shan, X. S. Shen, N. Wang, and H. Zhao, "A multi-hop broadcast protocol for emergency message dissemination in urban vehicular ad hoc networks," IEEE Transactions on Intelligent Transportation Systems, vol. 17, no. 3, pp. 736-750, Mar. 2015.   DOI
14 S. S. Shah, A. W. Malik, and A. U. Rahman, "Time barrier-based emergency message dissemination in vehicular ad-hoc networks," IEEE Access, vol. 7, pp. 16494-16503, Jan. 2019.   DOI
15 D. Kempe, J. Kleinberg, and E. Tardos, "Maximizing the spread of influence through a social network," in Proc. of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 137-146, Aug. 2003.
16 B. Han, P. Hui, V. S. Kumar, and J. Zhao, "Cellular traffic offloading through opportunistic communications: a case study," in Proc. of the 5th ACM Workshop on Challenged Networks, pp. 31-38, Sep. 2010.
17 M. C. Gonzalez, C. A. Hidalgo, and A. L. Barabasi, "Understanding individual human mobility patterns," Nature, vol. 453, no. 7196, pp. 779-782, June 2008.   DOI
18 L. Du, S. Gong, L. Wang, and X. Y. Li, "Information-traffic coupled cell transmission model for information spreading dynamics over vehicular ad hoc network on road segments," Transportation Research Part C: Emerging Technologies, vol. 73, pp. 30-48, Dec. 2016.   DOI
19 Y. Zhao and K. M. Kockelman, "Anticipating the regional impacts of connected and automated vehicle travel in Austin, Texas," Journal of Urban Planning and Development, vol. 144, no. 4, Dec. 2018.
20 Y. J. Chuang and C. J. Lin, "Cellular traffic offloading through community-based opportunistic dissemination," in Proc. of IEEE Wireless Communications and Networking Conference, pp. 3188-3193, Apr. 2012.
21 M. C. Gonzalez and H. J. Herrmann, "Scaling of the propagation of epidemics in a system of mobile agents," Physica A: Statistical Mechanics and its Applications, vol. 340, no. 4, pp. 741-748, Sep. 2004.   DOI
22 M. A. Al-Absi, A. A. Al-Absi, and H. J. Lee, "Comparison between DSRC and other Short Range Wireless Communication Technologies," in Proc. of the 22nd International Conference on Advanced Communication Technology, pp. 1-5, Feb. 2020.
23 Y. Zhang, Y. Deng, Y. Liu, and L. Wang, "Dynamics Modeling and Stability Analysis of Tilt Wing Unmanned Aerial Vehicle During Transition," Computers, Materials & Continua, vol. 59, no. 3, pp.833-851, June 2019.
24 Q. Wang, C. Yang, S. Wu, and Y. Wang, "Lever Arm Compensation of Autonomous Underwater Vehicle for Fast Transfer Alignment," Computers, Materials & Continua, vol. 59, no. 1, pp. 105-118, Apr. 2019.
25 G. Korkmaz, E. Ekici, F. O zguner, and U. Ozguner, "Urban multi-hop broadcast protocol for inter-vehicle communication systems," in Proc. of the 1st ACM International Workshop on Vehicular ad Hoc Networks, pp. 76-85, Oct. 2004.
26 B. X. Wang, K. Yin, and Y. Zhang, "An exact Markov process for multihop connectivity via intervehicle communication on parallel roads," IEEE Transactions on Wireless Communications, vol. 11, no. 3, pp. 865-868, Mar. 2012.   DOI
27 X. Duan, J. Wei, D. Tian, J. Zhou, H. Xia, X. Li, and K. Zheng, "Adaptive Handover Decision Inspired By Biological Mechanism in Vehicle Ad-hoc Networks," Computers, Materials & Continua, vol. 61, no. 3, pp. 1117-1128, Dec. 2019.
28 L. Bracciale, M. Bonola, P. Loreti, G. Bianchi, R. Amici, and A. Rabuffi, "The roma/taxi dataset," A Community Resource for Archiving Wireless Data, July 2014.
29 C. Liu and Z. K. Zhang, "Information spreading on dynamic social networks," Communications in Nonlinear Science and Numerical Simulation, vol. 19, no. 4, pp. 896-904, Apr. 2014.   DOI
30 M. Chaqfeh, H. El-Sayed, and A. Lakas, "Efficient data dissemination for urban vehicular environments," IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 4, pp. 1226-1236, Aug. 2018.   DOI
31 K. Yin, X. B. Wang, and Y. Zhang, "Vehicle-to-vehicle connectivity on two parallel roadways with a general headway distribution," Transportation Research Part C: Emerging Technologies, vol. 29, pp. 84-96, Apr. 2013.   DOI
32 D. Y. Kim and S. Kim, "A Data Download Method from RSUs Using Fog Computing in Connected Vehicles," Computers, Materials & Continua, vol. 59, no. 2, pp. 375-387, Feb. 2019.
33 Z. Li, Y. Shi, S. Chen, and J. Zhao, "Cellular Traffic Offloading through Opportunistic Communications Based on Human Mobility," KSII Transactions on Internet & Information Systems, vol. 9, no. 3, pp. 872-885, Mar. 2015.   DOI
34 W. Song, S. U. Rehman, and M. B. Awan, "Road Aware Information Sharing in VANETs," KSII Transactions on Internet & Information Systems, vol. 9, no. 9, pp. 3377-3395, Sep. 2015.   DOI
35 X. L. Wang, J. J. Jiang, S. Zhao, and X. Bai, "A Fair Blind Signature Scheme to Revoke Malicious Vehicles in VANETs," Computers, Materials & Continua, vol. 58, no. 1, pp. 249-262, Jan. 2019.   DOI