Abstract
Intelligent transport systems (ITS) realize safety driving, it require reliable wireless communication in order to exchange various types of data or information. Modern implementations considered to analyze a large amount of data for estimation of road traffic condition with machine learning, these implementations depends on public wireless communication. It could bring large latency due to machine learning engine on remote locations cloud computing platform. This paper proposes a concept of vehicle-to-road or vehicle-to-vehicle communication system consists multiple wavelength wireless communication devices. The system switches two of different wave length wireless link according to wireless network status. We consider this system mainly deals road condition which is decided on edge computing device. We measured network performance which is used in our system design in the field.
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Acknowledgments
This research was supported by Strategic Information and Communications R&D Promotion Program (SCOPE) No. 181502003, Ministry of Internal Affairs and Communications, Japan.
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Sakuraba, A., Ito, T., Shibata, Y. (2019). 2 Wavelength V2X Cognitive Wireless Communication System. 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_40
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DOI: https://doi.org/10.1007/978-3-030-02613-4_40
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