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The Position Relationship for RSU Assisted Vehicular Opportunistic Networks

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IoT as a Service (IoTaaS 2018)

Abstract

Vehicular Ad-hoc networks (VANETs) are promising information-sharing technologies for modern intelligent transportation systems (ITS), in which information can be disseminated and shared among a group of moving vehicles through wireless communication devices. Previous data dissemination schemes for VANETs are unable to meet the requirements of effective and efficient data dissemination in VANETs due to the dynamic nature of the framework such as the intermittent connection between vehicles. A position relationship and RSU assistance (PR) data dissemination algorithm was proposed for opportunistic VANETs. Through making use of road side unit (RSU), position information and transfer probability to improve the performance of PR algorithm. Simulation results show that the data delivery ratio of PR protocol is improved, the number of network copy is controlled, and network overhead is reduced.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China (61571370, 61601365, and 61801388), in part by the Fundamental Research Funds for the Central Universities (3102017OQD091 and 3102017GX08003), in part by the China Postdoctoral Science Foundation (BX20180262), and in part by the Seed Foundation of Innovation and Creation for Graduate Students in Northwestern Polytechnical University (Grant no. ZZ2018129).

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Correspondence to Yixin He .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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He, Y., Jiang, Y., Pan, S. (2019). The Position Relationship for RSU Assisted Vehicular Opportunistic Networks. In: Li, B., Yang, M., Yuan, H., Yan, Z. (eds) IoT as a Service. IoTaaS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 271. Springer, Cham. https://doi.org/10.1007/978-3-030-14657-3_38

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  • DOI: https://doi.org/10.1007/978-3-030-14657-3_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14656-6

  • Online ISBN: 978-3-030-14657-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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