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Deployment Strategy of Highway RSUs for Vehicular Ad Hoc Networks Considering Accident Notification

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Green, Pervasive, and Cloud Computing (GPC 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13744))

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Abstract

In the highway scenario, the deployment of RSUs to improve the delivery delay of accident notification information is studied. In this paper, a theoretical analysis model is established by analyzing the relationship between the delivery delay of accident notification information and the deployment of RSUs in the Vehicular Ad Hoc Networks (VANETs). The model assumes that two adjacent RSUs are connected, and considers the impact of accident probability, vehicle node density, and speed on the delivery delay of accident notification information under different deployment distances. In addition, the model also considers secondary inter-cluster communication with vehicles in different driving directions from the accident vehicle, so as the accident notification information can be transmitted to the vehicle cluster with same direction of accident vehicle and closer to the RSUs. To validate the performance of our proposed model, this paper uses MATLAB to solve the model numerically. Compared with the existing model that assumes that two adjacent RSUs are not connected and the secondary inter-cluster communication are not considered, the delivery delay of the accident notification information of our proposed model can be reduced by 66% from the existing model.

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Acknowledgements

Project supported by the China University Industry-University-Research Collaborative Innovation Fund (Future Network Innovation Research and Application Project) (No. 2021FNA04017).

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Correspondence to Zhengtao Xiang .

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Chen, Y., Ma, Y., Xiang, Z., Cai, L., Zhang, Y., Cao, H. (2023). Deployment Strategy of Highway RSUs for Vehicular Ad Hoc Networks Considering Accident Notification. In: Yu, C., Zhou, J., Song, X., Lu, Z. (eds) Green, Pervasive, and Cloud Computing. GPC 2022. Lecture Notes in Computer Science, vol 13744. Springer, Cham. https://doi.org/10.1007/978-3-031-26118-3_10

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  • DOI: https://doi.org/10.1007/978-3-031-26118-3_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-26117-6

  • Online ISBN: 978-3-031-26118-3

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