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An opportunistic data dissemination for autonomous vehicles communication

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Abstract

Autonomous transportation is an inevitable means of day-to-day activity that supports a country’s economic growth. Effective communication systems design is an incentive for autonomous vehicles’ protection and comfort to be further extended. Inter-vehicle communication and effective ways for the user to communicate with the autonomous vehicle and the communication systems’ elements for autonomous vehicles need to be considered. Vehicular ad hoc network (VANET) is a prominent roadside communication-assisting technology designed to serve the purpose. Mitigating communication errors in transportation prevent service interruptions and ease information access. External and internal communication lags need to be addressed to sustain uninterrupted communication. To improve communication reliability, an opportunistic data dissemination model is introduced in this paper. This dissemination model observes storage and processing communication demands and time dependency to assist roadside communication. The observations are processed by a neural-network-based learning scheme to respond precisely to users’ requests by pre-estimating vehicular and communication storage and time requirements. The communicating autonomous transport system is notified of the time and storage dependency of the requests to improve data dissemination. The communication status is updated with the infrastructure-assisted connecting technologies to ensure better VANET performance. The experimental results achieve a high resource utilization ratio of 93.4%, throughput 8.3 Mbps, less response time of 288.53 ms, request loss of 1.9%, and average delay of 60 ms compared to other existing methods.

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Acknowledgements

Taif University Researchers Supporting Project number (TURSP -2020/36), Taif University, Taif, Saudi Arabia.

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Authors and Affiliations

  1. Faculty of Information Technology, University of Central Punjab, Lahore, Pakistan

    Asad Abbas

  2. Faculty of CSIT, Al-Baha University, Al Bahah, Saudi Arabia

    Moez Krichen

  3. ReDCAD Laboratory, University of Sfax, Sfax, Tunisia

    Moez Krichen

  4. Department of Computer Science, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif, 21944, Saudi Arabia

    Roobaea Alroobaea

  5. Department of Information Technology, Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Jeddah, 21911, Saudi Arabia

    Sharaf Malebary

  6. College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia

    Usman Tariq

  7. Department of Computer Science and Engineering, Sejong University, Seoul, 05006, South Korea

    Md. Jalil Piran

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  1. Asad Abbas
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  2. Moez Krichen
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  3. Roobaea Alroobaea
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  4. Sharaf Malebary
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  5. Usman Tariq
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Correspondence to Md. Jalil Piran.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.

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Communicated by V. G. Diaz.

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Abbas, A., Krichen, M., Alroobaea, R. et al. An opportunistic data dissemination for autonomous vehicles communication. Soft Comput 25, 11899–11912 (2021). https://doi.org/10.1007/s00500-020-05542-y

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  • DOI: https://doi.org/10.1007/s00500-020-05542-y

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