Abstract
In SDN-VANETs, the processing capabilities of new generation vehicles offer not only processing and data repository resources for their own applications, but also they are able to share their available resources with other neighbors within their range of communication. In this work, we implement a testbed to assess the processing and storage capability of vehicles for helping other vehicles in need for additional resources. 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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
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
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. Tutor. 13(4), 584–616 (2011)
Klir, G.J., Folger, T.A.: Fuzzy Sets, Uncertainty, and Information. Prentice Hall, Upper Saddle River (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 (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) (2022). https://doi.org/10.3390/s22030878
Raza, S., Wang, S., Ahmed, M.: 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. Maga. 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. 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) (2018)
Zadeh, L.A., Kacprzyk, J.: Fuzzy Logic for the Management of Uncertainty. John Wiley & Sons Inc., New York (1992)
Zimmermann, H.J.: Fuzzy control. In: Fuzzy Set Theory and its Applications, pp. 203–240. Springer, Heidelberg (1996). https://doi.org/10.1007/978-94-010-0646-0_11
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Qafzezi, E., Bylykbashi, K., Kulla, E., Ikeda, M., Matsuo, K., Barolli, L. (2023). Implementation of a Fuzzy-Based Testbed for Assessment of Neighbor Vehicle Processing Capability in SDN-VANETs. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2023. Lecture Notes in Networks and Systems, vol 661. Springer, Cham. https://doi.org/10.1007/978-3-031-29056-5_11
Download citation
DOI: https://doi.org/10.1007/978-3-031-29056-5_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-29055-8
Online ISBN: 978-3-031-29056-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)