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Connectivity probability analysis for freeway vehicle scenarios in vehicular networks

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Abstract

The connectivity probability analysis of vehicular networks can be employed for providing theoretical guidance for both obtaining an accurate real-time traffic information and reducing hazardous traffic situations. Most previous studies focused on analyzing the connectivity probability of vehicular networks in physical (PHY) layer protocol. However, the effects of packet collision in media access control (MAC) layer on the connectivity probability of vehicular networks have been rarely studied, where MAC and PHY layers actually interact on each other. In this paper, some parameters are dynamically set and analyzed under consideration of the influence of MAC and PHY layers on the connectivity probability of vehicular networks. Numerical results are shown to be consistent with the proposed theoretical analysis.

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Acknowledgements

The authors acknowledge the support from the National Natural Science Foundation of China under Grants 61872406 and 61472094, Guangxi Natural Science Foundation under Grants 2014GXNSFGA118007, and Key research and development plan project of Zhejiang Province (No. 2018C01059).

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Authors and Affiliations

  1. School of Information and Communication, Guilin University of Electronic Technology, Guilin, 541004, China

    Hailin Xiao, Xiaolan Liu & Qiuyu Zhang

  2. Hubei Engineering Technology Research Center of Education Informationization, Hubei University, Wuhan, 430062, China

    Hailin Xiao

  3. Department of Computer Science, University of Texas at San Antonio, San Antonio, TX, 78249, USA

    Anthony Theodore Chronopoulos

  4. Department Computer Engineering and Informatics, University of Patras, 26 500, Rio, Greece

    Anthony Theodore Chronopoulos

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  1. Hailin Xiao
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  2. Xiaolan Liu
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  3. Qiuyu Zhang
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  4. Anthony Theodore Chronopoulos
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Correspondence to Hailin Xiao.

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Xiao, H., Liu, X., Zhang, Q. et al. Connectivity probability analysis for freeway vehicle scenarios in vehicular networks. Wireless Netw 27, 465–474 (2021). https://doi.org/10.1007/s11276-020-02464-3

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