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Realistic 5.9 GHz DSRC Vehicle-to-Vehicle Wireless Communication Protocols for Cooperative Collision Warning in Underground Mining

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Smart Transportation Systems 2020

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 185))

Abstract

Industrial vehicle automation is a core component of the building Industry 4.0. The uses of self-driving vehicles, inspection robots, and vehicular ad hoc networks (VANETs) communications in the mining industry are expected to open significant opportunities for collecting and exchanging data, localization, collision warning, and up-to-date traffic to enhance both the safety of workers and increase the productivity. In this paper, we present a review of the large-scale fading channel at 5.9 GHz in confined areas. Then, the requirements for DSRC receiver performance for VANET applications in an underground mine is calculated. This paper also reports the overall performance evaluation of three existing routing protocols, namely, emergency message dissemination for vehicular environments (EMDV), enhanced multi-hop vehicular broadcast (MHVB), and efficient directional broadcast (EDB) for active safety applications. Finally, a comparative study of these three routing protocols for cooperative collision warning in underground mining galleries was evaluated.

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Author information

Authors and Affiliations

  1. Department of Applied Sciences, University of Québec in Chicoutimi, Saguenay , QC, G7H 2B1, Canada

    Abdellah Chehri

  2. Bell-Canada, 671 Rue de la Gauchetière Ouest, Montreal, QC, H3B 2M8, Canada

    Hamou Chehri

  3. LRTCS Laboratory, University of Quebec in Abitibi-Témiscamingue (UQAT), Val-D’Or, QC, J9P 6W6, Canada

    Nadir Hakim

  4. Laboratory Engineering System, SIRC/LAGeS-EHTP, El Jadida, Morocco

    Rachid Saadane

Authors
  1. Abdellah Chehri
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  2. Hamou Chehri
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  3. Nadir Hakim
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  4. Rachid Saadane
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Corresponding author

Correspondence to Abdellah Chehri .

Editor information

Editors and Affiliations

  1. Dept of Architecture and Civil Engineering, Chalmers University of Technology, Göthenburg, Västra Götalands Län, Sweden

    Xiaobo Qu

  2. Management Science and Engineering, Shanghai University, Shanghai, China

    Lu Zhen

  3. Bournemouth University, Poole, UK

    Robert J. Howlett

  4. University of Technology Sydney, Sydney, NSW, Australia

    Lakhmi C. Jain

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Chehri, A., Chehri, H., Hakim, N., Saadane, R. (2020). Realistic 5.9 GHz DSRC Vehicle-to-Vehicle Wireless Communication Protocols for Cooperative Collision Warning in Underground Mining. In: Qu, X., Zhen, L., Howlett, R.J., Jain, L.C. (eds) Smart Transportation Systems 2020. Smart Innovation, Systems and Technologies, vol 185. Springer, Singapore. https://doi.org/10.1007/978-981-15-5270-0_12

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  • DOI: https://doi.org/10.1007/978-981-15-5270-0_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5269-4

  • Online ISBN: 978-981-15-5270-0

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