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Performance Evaluation of a Fuzzy-Based Cluster-Management System for VANETs

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Advances on Broadband and Wireless Computing, Communication and Applications (BWCCA 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 25))

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Abstract

In recent years, inter-vehicle communication has attracted attention because it can be applicable not only to alternative networks but also to various communication systems. In this paper, we evaluate the proposed Fuzzy-Based Cluster-Management System (FBCMS) for VANETs. We present and compare two fuzzy-based systems: FBCMS1 and FBCMS2 for clustering of vehicles in VANETs. We conclude that by selecting vehicles with high GS, RA, SC and DC values, the vehicles have high connectivity with other vehicles and are more secure, so they will be selected as the cluster head of the cluster. By comparing FBCMS1 and FBCMS2, we found that the FBCMS2 can manage better the vehicles in the cluster than FBCMS1.

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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

    Kosuke Ozera, 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

    Makoto Ikeda & Leonard Barolli

Authors
  1. Kosuke Ozera
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  2. Kevin Bylykbashi
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  3. Yi Liu
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  4. Makoto Ikeda
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  5. Leonard Barolli
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Corresponding author

Correspondence to Kosuke Ozera .

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. Tunghai University, Taichung, Taiwan

    Fang-Yie Leu

  3. Rissho University, Tokyo, Japan

    Tomoya Enokido

  4. Asia University, Taichung, Taiwan

    Hsing-Chung Chen

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Ozera, K., Bylykbashi, K., Liu, Y., Ikeda, M., Barolli, L. (2019). Performance Evaluation of a Fuzzy-Based Cluster-Management System for VANETs. In: Barolli, L., Leu, FY., Enokido, T., Chen, HC. (eds) Advances on Broadband and Wireless Computing, Communication and Applications. BWCCA 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-030-02613-4_56

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  • DOI: https://doi.org/10.1007/978-3-030-02613-4_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02612-7

  • Online ISBN: 978-3-030-02613-4

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