Abstract
In this paper, we propose a fuzzy-based system to determine the processing capability of neighboring vehicles in Software Defined Vehicular Ad hoc Networks (SDN-VANETs) considering vehicle trustworthiness as a new parameter. The computational, networking and storage resources of vehicles comprise the Edge Computing resources in a layered Cloud-Fog-Edge architecture. A vehicle which needs additional resources to complete certain tasks and process various data can use the resources of the neighboring vehicles if requirements to realize such operations are fulfilled. We propose a new fuzzy-based system to assess the processing capability of each neighbor and based on the final value, we can determine whether the edge layer can be used by the vehicles in need. The proposed system takes into consideration the available resources of the neighbors, their trustworthiness value and the predicted contact duration between them and the vehicle. Our system takes also into account the neighbors willingness to share their resources and determines the processing capability for each neighbor. We evaluate the system by computer simulations. Helpful neighbors are the trustworthy ones that are predicted to be within the vehicle communication range for a while and have medium/large amount of available resources.
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References
Bylykbashi, K., Elmazi, D., Matsuo, K., Ikeda, M., Barolli, L.: Effect of security and trustworthiness for a fuzzy cluster management system in VANETs. Cogn. Syst. Res. 55, 153–163 (2019). https://doi.org/10.1016/j.cogsys.2019.01.008
Bylykbashi, K., Qafzezi, E., Ikeda, M., Matsuo, K., Barolli, L.: Fuzzy-based Driver Monitoring System (FDMS): implementation of two intelligent FDMSs and a testbed for safe driving in VANETs. Future Gener. Comput. Syst. 105, 665–674 (2020). https://doi.org/10.1016/j.future.2019.12.030
Kandel, A.: Fuzzy Expert Systems. CRC Press Inc., Boca Raton (1992)
Klir, G.J., Folger, T.A.: Fuzzy Sets, Uncertainty, and Information. Prentice Hall, Upper Saddle River (1988)
Ku, I., Lu, Y., Gerla, M., Gomes, R.L., Ongaro, F., Cerqueira, E.: Towards software-defined VANET: architecture and services. In: 13th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET), pp. 103–110 (2014)
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., Barolli, L., Takizawa, M.: A fuzzy-based system for assessment of available edge computing resources in a cloud-fog-edge SDN-VANETs architecture. In: International Conference on Network-Based Information Systems, pp. 10–19. Springer (2020)
Qafzezi, E., Bylykbashi, K., Ikeda, M., Matsuo, K., Barolli, L.: Coordination and management of cloud, fog and edge resources in SDN-VANETs using fuzzy logic: a comparison study for two fuzzy-based systems. Internet Things 11, 100169 (2020)
Qafzezi, E., Bylykbashi, K., Ishida, T., Matsuo, K., Barolli, L., Takizawa, M.: Resource management in SDN-VANETs: coordination of cloud-fog-edge resources using fuzzy logic. In: International Conference on Emerging Internetworking, Data & Web Technologies, pp. 114–126. Springer (2020)
Qafzezi, E., Bylykbashi, K., Spaho, E., Barolli, L.: An intelligent approach for resource management in SDN-VANETs using fuzzy logic. In: International Conference on Broadband and Wireless Computing, Communication and Applications, pp. 747–756. Springer (2019)
Qafzezi, E., Bylykbashi, K., Spaho, E., Barolli, L.: A new fuzzy-based resource management system for SDN-VANETs. Int. J. Mob. Comput. Multimedia Commun. (IJMCMC) 10(4), 1–12 (2019)
Truong, N.B., Lee, G.M., Ghamri-Doudane, Y.: Software defined networking-based vehicular adhoc network with fog computing. In: 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM), pp. 1202–1207 (2015)
Xu, W., Zhou, H., Cheng, N., Lyu, F., Shi, W., Chen, J., Shen, X.: Internet of vehicles in big data era. IEEE/CAA J. Automatica Sinica 5(1), 19–35 (2018)
Zadeh, L.A., Kacprzyk, J.: Fuzzy Logic for the Management of Uncertainty. Wiley, New York (1992)
Zimmermann, H.J.: Fuzzy control. In: Fuzzy Set Theory and Its Applications, pp. 203–240. Springer (1996)
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Qafzezi, E., Bylykbashi, K., Ampririt, P., Ikeda, M., Barolli, L., Takizawa, M. (2021). Assessment of Available Edge Computing Resources in SDN-VANETs by a Fuzzy-Based System Considering Trustworthiness as a New Parameter. In: Barolli, L., Takizawa, M., Yoshihisa, T., Amato, F., Ikeda, M. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2020. Lecture Notes in Networks and Systems, vol 158. Springer, Cham. https://doi.org/10.1007/978-3-030-61105-7_11
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DOI: https://doi.org/10.1007/978-3-030-61105-7_11
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