A Review on The Realistic Mobility Models for Vehicular AD-Hoc Networks
Keywords:
VANETs, Mobility models, VANETs’ MobilityAbstract
There has been an imperative rise in interest in Vehicular Ad-hoc Networks (VANETs) in both the academic and commercial arenas. In the research of VANETs, one of the problems is to define a model of vehicle mobility that provides an accurate and realistic description of vehicle movement at macro and micro levels. The ability to dynamically adjust vehicle mobility as a result of vehicular communication protocols is another problem. The community has come up with a variety of solutions to these two problems. For this reason, as well as the fact that there are so many models on the market claiming to be suitable for vehicle traffic, it is difficult to discern their genuine qualities, level of realism in relation to vehicular mobility, and actual capabilities.
References
[1] Abdelgadir, M., Saeed, R. A., & Babiker, A. (2017). Mobility Routing Model for Vehicular Ad-hoc Networks (VANETs), Smart City Scenarios. Vehicular Communications, 9(April), 154-161. https://doi.org/10.1016/j.vehcom.2017.04.003
[2] Campolo, C., Molinaro, A., & Scopigno, R. (2015). Vehicular ad hoc networks standards, solutions, and research. Vehicular Ad Hoc Networks Standards, Solutions, and Research, 1-544. https://doi.org/10.1007/978-3-319-15497-8
[3] Duarte, J. M., Braun, T., & Villas, L. A. (2019). MobiVNDN: A distributed framework to support mobility in vehicular named-data networking. Ad Hoc Networks, 82, 77-90. https://doi.org/10.1016/j.adhoc.2018.08.008
[4] Filali, F., & Bonnet, C. (2006). Mobility Models for Vehicular Ad Hoc Networks : A Survey. IEICE Transactions on Communications, E89-B(6), 1888-1891. http://www.scopus.com/inward/record.url?eid=2-s2.0-33745440978&partnerID=40&md5=566c2685569f5b8bd3d3d6a049a6d3d3
[5] John Justin Thangaraj, S., Uthayakumar, P., Deepak, V., & Priskilla Angel Rani, J. (2021). Optimization of vehicular ADHOC network performance using cloud computing model over mobility model. Materials Today: Proceedings, xxxx. https://doi.org/10.1016/j.matpr.2021.02.668
[6] Karnadi, F. K., Mo, Z. H., & Lan, K. C. (2007). Rapid generation of realistic mobility models for VANET. IEEE Wireless Communications and Networking Conference, WCNC, 2506-2511. https://doi.org/10.1109/WCNC.2007.467
[7] Kumar, R., & Dave, M. (2014). Mobility Models and their Affect on Data Aggregation and Dissemination in Vehicular Networks. Wireless Personal Communications, 79(3), 2237-2269. https://doi.org/10.1007/s11277-014-1983-9
[8] Kumar Singh, P., & Lego, K. (2011). Comparative Study of Radio Propagation and Mobility Models in Vehicular Adhoc NETwork. International Journal of Computer Applications, 16(8), 37-42. https://doi.org/10.5120/2031-2600
[9] Lan, K. C., & Chou, C. M. (2008). Realistic mobility models for vehicular Ad hoc network (VANET) simulations. Proceedings - 2008 8th International Conference on Intelligent Transport System Telecommunications, ITST 2008, Section II, 362-366. https://doi.org/10.1109/ITST.2008.4740287
[10] Rahman, M. H., & Nasiruddin, M. (2014). Impact of two realistic mobility models for vehicular safety applications. 2014 International Conference on Informatics, Electronics and Vision, ICIEV 2014, 1-6. https://doi.org/10.1109/ICIEV.2014.6850709
[11] Ros, F. J., Martinez, J. A., & Ruiz, P. M. (2014). A survey on modeling and simulation of vehicular networks: Communications, mobility, and tools. Computer Communications, 43, 1-15. https://doi.org/10.1016/j.comcom.2014.01.010
[12] Sethi, A., Vijay, S., & Gupta, V. (2020). Mobility and QoS based cross network for ICN Vehicular Communication. Procedia Computer Science, 171(2019), 897-906. https://doi.org/10.1016/j.procs.2020.04.097
[13] Silva, F. A., Boukerche, A., Silva, T. R. M. B., Ruiz, L. B., & Loureiro, A. A. F. (2015). A novel macroscopic mobility model for vehicular networks. Computer Networks, 79, 188-202. https://doi.org/10.1016/j.comnet.2015.01.003
[14] Sun, R., Ye, J., Tang, K., Zhang, K., Zhang, X., & Ren, Y. (2018). Big Data Aided Vehicular Network Feature Analysis and Mobility Models Design. Mobile Networks and Applications, 23(6), 1487-1495.https://doi.org/10.1007/s11036-017-0981-z
[15] Ye, M., Guan, L., & Quddus, M. (2021). TDMP: Reliable Target Driven and Mobility Prediction based routing protocol in complex Vehicular Ad-hoc Network. Vehicular Communications, 31. https://doi.org/10.1016/j.vehcom.2021.100361
