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A Solution to Reduce Broadcast Storm in VANET

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12737))

Abstract

The rapid growth of global car ownership leads to energy shortage, environmental pollution, traffic congestion and frequent accidents. The development of intelligent connected vehicle is an effective way to solve the above problems, and it is also the future development direction of automobile. One of the key problems of intelligent network connection of automobile is how to build VANET. In the case of a large number of vehicles gathering, the frequent and intensive interaction of massive communication participants in VANET will inevitably produce broadcast storm, which will lead to network paralysis. To solve the above problems, in this paper, a periodically transmitted rpcm broadcast message forwarding control strategy was designed, and the effect of the forwarding control strategy was analyzed in three scenarios of intersection meeting, multi hop chain meeting and multi vehicle congestion. Simulation results show that the forwarding control strategy can greatly reduce the number of broadcast data packets and improve the effective throughput in large-scale VANET. Moreover, the wider the bandwidth, the higher the throughput performance. When forwarding packets to 32 nodes in 5 m bandwidth, the throughput performance is improved by more than 60%. It has obvious effect on suppressing broadcast storm.

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Funding

This research is supported by Scientific research project of Hunan Education Department (20C1000).

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He, S., Xiang, L., Wang, Y., Xia, M., Hong, Y. (2021). A Solution to Reduce Broadcast Storm in VANET. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2021. Lecture Notes in Computer Science(), vol 12737. Springer, Cham. https://doi.org/10.1007/978-3-030-78612-0_42

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  • DOI: https://doi.org/10.1007/978-3-030-78612-0_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78611-3

  • Online ISBN: 978-3-030-78612-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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