Abstract
The integration of Cloud-Fog-Edge computing in Software-Defined Vehicular Ad hoc Networks (SDN-VANETs) brings a new paradigm that provides the needed resources for supporting a myriad of emerging applications. While an abundance of resources may offer many benefits, it also causes management problems. In this work, we implement a testbed to flexibly and efficiently manage resources in SDN-VANETs. We used our testbed and carried out some experiments. The results demonstrate the feasibility of the proposed approach in coordinating and managing the available SDN-VANETs resources.
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References
Al-Heety, O.S., Zakaria, Z., Ismail, M., Shakir, M.M., Alani, S., Alsariera, H.: A comprehensive survey: benefits, services, recent works, challenges, security, and use cases for SDN-VANET. IEEE Access 8, 91028–91047 (2020). https://doi.org/10.1109/ACCESS.2020.2992580
Aung, N., Zhang, W., Dhelim, S., Ai, Y.: Accident prediction system based on hidden Markov model for vehicular ad-hoc network in urban environments. Information 9(12), 311 (2018). https://doi.org/10.3390/info9120311
Colagrande, S.: A methodology for the characterization of urban road safety through accident data analysis. Transp. Res. Procedia 60, 504–511 (2022). https://doi.org/10.1016/j.trpro.2021.12.065
Fadhil, J.A., Sarhan, Q.I.: Internet of vehicles (IoV): a survey of challenges and solutions. In: 2020 21st International Arab Conference on Information Technology (ACIT), pp 1–10 (2020). https://doi.org/10.1109/ACIT50332.2020.9300095
Wu, G.F., Liu, F.J., Dong, G.L.: Analysis of the influencing factors of road environment in road traffic accidents. In: 2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA), pp 83–85 (2020). https://doi.org/10.1109/ICDSBA51020.2020.00028
Ge, X., Li, Z., Li, S.: 5G software defined vehicular networks. IEEE Commun. Mag. 55(7), 87–93 (2017)
Hartenstein, H., Laberteaux, K.: Cooperative vehicular safety applications, John Wiley & Sons., pp 21–48 (2010). https://doi.org/10.1002/9780470740637.ch2
Kandel, A.: Fuzzy Expert Systems. CRC Press Inc, Boca Raton (1992)
Karagiannis, G., et al.: Vehicular networking: a survey and tutorial on requirements, architectures, challenges, standards and solutions. IEEE Commun. Surv. Tutorials 13(4), 584–616 (2011)
Klir, G.J., Folger, T.A.: Fuzzy Sets, Uncertainty, and Information. Prentice Hall, Upper Saddle River, NJ, USA (1988)
Lu, N., Cheng, N., Zhang, N., Shen, X., Mark, J.W.: Connected vehicles: solutions and challenges. IEEE Internet Things J. 1(4), 289–299 (2014). https://doi.org/10.1109/JIOT.2014.2327587
Luan, T.H., Cai, L.X., Chen, J., Shen, X.S., Bai, F.: Engineering a distributed infrastructure for large-scale cost-effective content dissemination over urban vehicular networks. IEEE Trans. Veh. Technol. 63(3), 1419–1435 (2014). https://doi.org/10.1109/TVT.2013.2251924
McNeill, F.M., Thro, E.: Fuzzy Logic: A Practical Approach. Academic Press Professional Inc, San Diego, CA, USA (1994)
Munakata, T., Jani, Y.: Fuzzy systems: an overview. Commun. ACM 37(3), 69–77 (1994)
Qafzezi, E., Bylykbashi, K., Ampririt, P., Ikeda, M., Matsuo, K., Barolli, L.: An intelligent approach for cloud-fog-edge computing SDN-VANETs based on fuzzy logic: effect of different parameters on coordination and management of resources. Sensors 22(3), 878 (2022). https://doi.org/10.3390/s22030878
Raza, S., Wang, S., Ahmed, M., Anwar, M.R.: A survey on vehicular edge computing: architecture, applications, technical issues, and future directions. Wirel. Commun. Mob. Comput. 3159, 762 (2019). https://doi.org/10.1155/2019/3159762
Rolison, J.J., Regev, S., Moutari, S., Feeney, A.: What are the factors that contribute to road accidents? An assessment of law enforcement views, ordinary drivers’ opinions, and road accident records. Accid. Anal. Prev. 115, 11–24 (2018). https://doi.org/10.1016/j.aap.2018.02.025
Seo, H., Lee, K.D., Yasukawa, S., Peng, Y., Sartori, P.: LTE evolution for vehicle-to-everything services. IEEE Commun. Mag. 54(6), 22–28 (2016). https://doi.org/10.1109/MCOM.2016.7497762
Shrestha, R., Bajracharya, R., Nam, S.Y.: Challenges of future VANET and cloud-based approaches. Wirel. Commun. Mob. Comput. 2018 (2018)
World Health Organization (2018) Global status report on road safety 2018: summary. World Health Organization, Geneva, Switzerland, (WHO/NMH/NVI/18.20). Licence: CC BY-NC-SA 3.0 IGO)
Zadeh, L.A., Kacprzyk, J.: Fuzzy Logic for the Management of Uncertainty. John Wiley & Sons Inc, New York, NY, USA (1992)
Zimmermann, H.J.: Fuzzy control. In: Zimmermann, H.J. (ed.) Fuzzy Set Theory and Its Applications, pp. 203–240. Springer, Cham (1996)
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Qafzezi, E., Bylykbashi, K., Kulla, E., Ikeda, M., Matsuo, K., Barolli, L. (2023). Implementation of a Fuzzy-Based Testbed for Coordination and Management of Cloud-Fog-Edge Resources in SDN-VANETs. In: Barolli, L. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 161. Springer, Cham. https://doi.org/10.1007/978-3-031-26281-4_48
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