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Resource Management in SDN-VANETs Using Fuzzy Logic: Effect of Average Processing Capability per Neighbor Vehicle on Management of Cloud-Fog-Edge Resources

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Advances in Internet, Data and Web Technologies (EIDWT 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 65))

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Abstract

Traditional Vehicular Ad hoc Networks (VANETs) experience several challenges in deployment and management due to poor scalability, low flexibility, bad connectivity and lack of intelligence. The integration of Cloud, Fog and Edge Computing in VANETs together with the use of Software Defined Networking (SDN) are seen as a way to deal with these communication challenges. In this work, we propose a new fuzzy-based system for coordination and management of resources in a layered cloud-fog-edge SDN-VANETs architecture. The proposed system decides the appropriate resources to be used by a particular vehicle when the tasks it has to accomplish require computing resources that go beyond those of the vehicle. Based on the output of the system, it is decided whether the vehicle could use the resources of its neighbors, fog or cloud servers. The decision is made by considering the average processing capability of the neighboring vehicles, density of neighbors, latency constrains and the complexity of the task. We demonstrate by simulations the feasibility of the proposed system to improve the management of the network resources.

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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

    Ermioni Qafzezi, Kevin Bylykbashi & Phudit Ampririt

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

    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. Ermioni Qafzezi
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  2. Kevin Bylykbashi
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  3. Phudit Ampririt
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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 Ermioni Qafzezi .

Editor information

Editors and Affiliations

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

    Leonard Barolli

  2. Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand

    Juggapong Natwichai

  3. Rissho University, Tokyo, Japan

    Tomoya Enokido

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Qafzezi, E., Bylykbashi, K., Ampririt, P., Ikeda, M., Barolli, L., Takizawa, M. (2021). Resource Management in SDN-VANETs Using Fuzzy Logic: Effect of Average Processing Capability per Neighbor Vehicle on Management of Cloud-Fog-Edge Resources. In: Barolli, L., Natwichai, J., Enokido, T. (eds) Advances in Internet, Data and Web Technologies. EIDWT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 65. Springer, Cham. https://doi.org/10.1007/978-3-030-70639-5_15

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