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An Enhanced Adaptive Anti-packet Recovery Method for Inter-vehicle Communications

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Advances in Network-Based Information Systems (NBiS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 526))

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Abstract

In this paper, we propose an Enhanced Adaptive Anti-packet Recovery (EAAR) method based on epidemic protocol for inter-vehicle communications. Our method can be applied to conventional Delay Tolerant Networking (DTN) protocols. We evaluate the proposed EAAR method and compare the performance with conventional epidemic protocol. From the simulation results, we found that the delivery rate improves with increasing of \(\alpha \) and \(\beta \) thresholds values. However, the delivery rate for 100 nodes did not decrease for \(\beta \) 0.7 or higher compared with the conventional method. The threshold value of \(\beta \) should be less than 0.5 in order to reduce the overhead.

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Authors and Affiliations

  1. Graduate School of Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-higashi, Higashi-ku, Fukuoka, 811-0295, Japan

    Shota Uchimura & Masaya Azuma

  2. Department of Information and Communication Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-higashi, Higashi-ku, Fukuoka, 811-0295, Japan

    Makoto Ikeda & Leonard Barolli

Authors
  1. Shota Uchimura
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  2. Masaya Azuma
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  3. Makoto Ikeda
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  4. Leonard Barolli
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Corresponding author

Correspondence to Makoto Ikeda .

Editor information

Editors and Affiliations

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

    Leonard Barolli

  2. School of Science and Technology, Kwansei Gakuin University, Sanda, Japan

    Hiroyoshi Miwa

  3. Faculty of Bussiness Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

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Uchimura, S., Azuma, M., Ikeda, M., Barolli, L. (2022). An Enhanced Adaptive Anti-packet Recovery Method for Inter-vehicle Communications. In: Barolli, L., Miwa, H., Enokido, T. (eds) Advances in Network-Based Information Systems. NBiS 2022. Lecture Notes in Networks and Systems, vol 526. Springer, Cham. https://doi.org/10.1007/978-3-031-14314-4_38

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