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A Fuzzy-Based System for Cloud-Fog-Edge Selection in VANETs

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Advances in Internet, Data and Web Technologies (EIDWT 2019)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 29))

Abstract

Vehicular Ad Hoc Networks (VANETs) have gained a great attention due to the rapid development of mobile internet and Internet of Things (IoT) applications. With the evolution of technology, it is expected that VANETs will be massively deployed in upcoming vehicles. However, these kinds of wireless networks face several technical challenges in deployment and management due to variable capacity of wireless links, bandwidth constrains, high latency and dynamic topology. Cloud computing, fog computing and edge computing are considered a way to deal with these communication challenges. In this paper, we propose a Fuzzy-based System for Resource Coordination and Management (FSRCM) in VANETs. The proposed system considers vehicle mobility, data size, time sensitivity and remained storage capacity to select processing layer of the VANETs application data. We evaluated the performance of proposed system by computer simulations. From the simulations results, we conclude that the vehicles choose the appropriate layer to process and keep the data based on their velocity, remained storage and data size.

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References

  1. Gu, L., Zeng, D., Guo, S.: Vehicular cloud computing: a survey. In: 2013 IEEE Globecom Workshops (GC Wkshps), pp. 403–407, December 2013

    Google Scholar 

  2. Ge, X., Li, Z., Li, S.: 5G software defined vehicular networks. IEEE Commun. Mag. 55(7), 87–93 (2017)

    Article  Google Scholar 

  3. Hu, Y.C., Patel, M., Sabella, D., Sprecher, N., Young, V.: Mobile edge computing-a key technology towards 5G. In: ETSI White Paper, vol. 11, no. 11, pp. 1–16 (2015)

    Google Scholar 

  4. Yuan, Q., Zhou, H., Li, J., Liu, Z., Yang, F., Shen, X.S.: Toward efficient content delivery for automated driving services: an edge computing solution. IEEE Netw. 32(1), 80–86 (2018)

    Article  Google Scholar 

  5. Olariu, S., Khalil, I., Abuelela, M.: Taking vanet to the clouds. Int. J. Pervasive Comput. Commun. 7(1), 7–21 (2011)

    Article  Google Scholar 

  6. Olariu, S., Hristov, T., Yan, G.: The next paradigm shift: from vehicular networks to vehicular clouds. In: Mobile Ad Hoc Networking: Cutting Edge Directions, vol. 56, no. 6, pp. 645–700 (2013)

    Chapter  Google Scholar 

  7. Hussain, R., Son, J., Eun, H., Kim, S., Oh, H.: Rethinking vehicular communications: merging vanet with cloud computing. In: 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings, pp. 606–609, December 2012

    Google Scholar 

  8. Stojmenovic, I., Wen, S., Huang, X., Luan, H.: An overview of fog computing and its security issues. In: Concurrency and Computation: Practice and Experience, vol. 28, no. 10, pp. 2991–3005 (2016)

    Article  Google Scholar 

  9. Santi, P.: Mobility Models for Next Generation Wireless Networks: Ad Hoc, Vehicular and Mesh Networks. Wiley, Hoboken (2012)

    Book  Google Scholar 

  10. Hartenstein, H., Laberteaux, L.: A tutorial survey on vehicular ad hoc networks. IEEE Commun. Mag. 46(6), 164–171 (2008)

    Article  Google Scholar 

  11. Karagiannis, G., Altintas, O., Ekici, E., Heijenk, G., Jarupan, B., Lin, K., Weil, T.: Vehicular networking: a survey and tutorial on requirements, architectures, challenges, standards and solutions. IEEE Communi. Surv. Tutorials 13(4), 584–616 (2011)

    Article  Google Scholar 

  12. Kandel, A.: Fuzzy Expert Systems. CRC Press Inc., Boca Raton (1992)

    Google Scholar 

  13. Zimmermann, H.-J.: Fuzzy control. In: Fuzzy Set Theoryand Its Applications. Springer, pp. 203–240 (1996)

    Google Scholar 

  14. McNeill, F.M., Thro, E.: Fuzzy Logic: A Practical Approach. Academic Press Professional Inc., San Diego (1994)

    MATH  Google Scholar 

  15. Zadeh, L.A., Kacprzyk, J.: Fuzzy Logic for the Management of Uncertainty. Wiley, New York (1992)

    Google Scholar 

  16. Procyk, T.J., Mamdani, E.H.: A linguistic self-organizing process controller. Automatica 15(1), 15–30 (1979)

    Article  Google Scholar 

  17. Klir, G.J., Folger, T.A.: Fuzzy Sets, Uncertainty, and Information (1988)

    Google Scholar 

  18. Munakata, T., Jani, Y.: Fuzzy systems: an overview. Commun. ACM 37(3), 69–77 (1994)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Graduate School of Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811–0295, Japan

    Kevin Bylykbashi & Yi Liu

  2. Department of Information and Communication Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811-0295, Japan

    Keita Matsuo, Makoto Ikeda & Leonard Barolli

  3. Department of Advanced Sciences, Faculty of Science and Engineering, Hosei University, 3-7-2, Kajino-machi, Koganei-shi, Tokyo, 184-8584, Japan

    Makoto Takizawa

Authors
  1. Kevin Bylykbashi
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  2. Yi Liu
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  3. Keita Matsuo
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  4. Makoto Ikeda
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  5. Leonard Barolli
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  6. Makoto Takizawa
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Corresponding author

Correspondence to Kevin Bylykbashi .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  3. Computer Information Science (CIS), Higher Colleges of Technology, Fujairah Campus, Fujairah, United Arab Emirates

    Zahoor Ali Khan

  4. Faculty of Computer Information Science, Higher Colleges of Technology, Dubai Campus, Dubai, United Arab Emirates

    Hamad Odhabi

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Bylykbashi, K., Liu, Y., Matsuo, K., Ikeda, M., Barolli, L., Takizawa, M. (2019). A Fuzzy-Based System for Cloud-Fog-Edge Selection in VANETs. In: Barolli, L., Xhafa, F., Khan, Z., Odhabi, H. (eds) Advances in Internet, Data and Web Technologies. EIDWT 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 29. Springer, Cham. https://doi.org/10.1007/978-3-030-12839-5_1

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