Grouping vehicles in Vehicular Social Networks

Abstract = 676 times | PDF = 600 times

Main Article Content

Muhammed Abaid Mahdi Saad Talib Hasson


As vehicles have become intelligent objects, creating social friendships among them is justifiable. Internet of Vehicles (IoVs) and Vehicular Ad-hoc NETworks (VANETs) are associated terms that are recently highlighted to improve the transportation systems. Intelligent vehicles that can communicate with each other are the main component of vehicular networks (VNs). Indeed, they have resources for that intelligence: CPU, transceiver, sensors and memory.  On the other side, social networks (SNs) are also brought to light to mainly study the human relationships. In this context, gathering these vehicles in social groups is reasonable to share their information by bridging VN and SN in a multidisciplinary research direction called vehicular social networks (VSNs).This paper will present a model to group vehicles in two types of social groups. Casual groups and permanent or formal groups will be discussed to increase social ties among vehicles that have the same interests. The results will be analyzed to clarify the most important factors that affect such these relationships.


Casual groups, Formal groups, IoV, Multidisciplinary, VANET, VSN.


Download data is not yet available.

Article Details


[1] M. Keertikumar, M. Shubham, and R. M. Banakar, "Evolution of IoT in smart vehicles: An overview," in 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), 2015, pp. 804-809.
[2] S. T. Hasson and M. A. Mahdi, "A Developed Realistic Urban Road Traffic in Erbil City Using Bi-directionally Coupled Simulations," Qalaai Zanist Scientific Journal,, vol. 2, no. 2, pp. 16-27, 2017.
[3] S. S. De and S. Dehuri, "Machine Learning for Auspicious Social Network Mining," in Social Networking: Springer, 2014, pp. 45-83.
[4] S. Ghosh and N. Ganguly, "Structure and evolution of online social networks," in Social Networking: Springer, 2014, pp. 23-44.
[5] S. Sharma and G. Purohit, "Methods of Tracking Online Community in Social Network," in Social Networking: Springer, 2014, pp. 129-146.
[6] S. Tang, "Profit-aware Team Grouping in Social Networks: A Generalized Cover Decomposition Approach," arXiv preprint arXiv:1605.03205, 2016.
[7] S. Alsaleh, R. Nayak, and Y. Xu, "Grouping people in social networks using a weighted multi-constraints clustering method," in Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on, 2012, pp. 1-8: IEEE.
[8] L. Feng and B. Bhanu, "Understanding dynamic social grouping behaviors of pedestrians," IEEE Journal of Selected Topics in Signal Processing, vol. 9, no. 2, pp. 317-329, 2015.
[9] L. A. Maglaras, A. H. Al-Bayatti, Y. He, I. Wagner, and H. Janicke, "Social internet of vehicles for smart cities," Journal of Sensor and Actuator Networks, vol. 5, no. 1, p. 3, 2016.
[10] Z. Huang, S. Ruj, M. A. Cavenaghi, M. Stojmenovic, and A. Nayak, "A social network approach to trust management in VANETs," Peer-to-Peer Networking and Applications, vol. 7, no. 3, pp. 229-242, 2014.
[11] K. M. Alam, M. Saini, D. T. Ahmed, and A. El Saddik, "VeDi: A vehicular crowd-sourced video social network for VANETs," in Local Computer Networks Workshops (LCN Workshops), 2014 IEEE 39th Conference on, 2014, pp. 738-745: IEEE.
[12] A. Elbery, M. ElNainay, F. Chen, C.-T. Lu, and J. Kendall, "A carpooling recommendation system based on social vanet and geo-social data," in Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013, pp. 556-559: ACM.
[13] A. Papadimitriou, D. Katsaros, and Y. Manolopoulos, "Social network analysis and its applications in wireless sensor and vehicular networks," in International Conference on e-Democracy, 2009, pp. 411-420: Springer.
[14] M. R. Islam, N. I. Shahid, D. T. ul Karim, A. Al Mamun, and M. K. Rhaman, "An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system," in Advanced Communication Technology (ICACT), 2016 18th International Conference on, 2016, pp. 802-807: IEEE.
[15] S. T. Hasson and M. A. Mahdi, "A Contribution to the Role of the Wireless Sensors in the IoT Era," presented at the 2nd International Conference on Computer Science and Telecommunication Engineering 2017 (COMSCET), DUABI, Feb. 2017, 2017.
[16] M. Tekkalmaz and I. Korpeoglu, "PSAR: power-source-aware routing in ZigBee networks," Wireless Networks, vol. 18, no. 6, pp. 635-651, 2012.
[17] A. Bonivento, L. P. Carloni, and A. Sangiovanni-Vincentelli, "Platform-based design of wireless sensor networks for industrial applications," in Proceedings of the conference on Design, automation and test in Europe: Proceedings, 2006, pp. 1103-1107: European Design and Automation Association.
[18] D. B. Rawat and G. Yan, "Infrastructures in vehicular communications: Status, challenges and perspectives," IGI Global, 2010.
[19] 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, 1// 2014.
[20] S. Zeadally, R. Hunt, Y.-S. Chen, A. Irwin, and A. Hassan, "Vehicular ad hoc networks (VANETS): status, results, and challenges," Telecommunication Systems, vol. 50, no. 4, pp. 217-241, 2012.
[21] J. B. Kenney, "Dedicated short-range communications (DSRC) standards in the United States," Proceedings of the IEEE, vol. 99, no. 7, pp. 1162-1182, 2011.
[22] S. K. Bhoi and P. M. Khilar, "Vehicular communication: a survey," IET Networks, vol. 3, no. 3, pp. 204-217, 2014.
[23] Y. Kudoh, "DSRC standards for multiple applications," in Proceedings of 11th world congress on ITS, 2004.
[24] GraphStream. (30th March ). Available:
[25] W. Shanshan and Z. Chunxiao, "NetLogo Based Model for VANET Behaviors Dynamic Research," in Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on, 2013, pp. 990-993: IEEE.
[26] S. T. Hasson and Z. Y. Hasan, "Simulating Road Modeling Approach’s in Vanet Environment Using Net Logo," Research Journal of Applied Sciences, vol. 11, no. 10, pp. 1130-1136, 2016.