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Link Delay Modeling for Two-Way Traffic Road Segment in Vehicular Networks

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Internet of Vehicles - Safe and Intelligent Mobility (IOV 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9502))

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Abstract

This paper proposes expected link delay (i.e., data delivery delay) on a two-way road segment for carry-and-forward data delivery schemes in vehicular networks. Recently, a lot of vehicles are able to communicate with each other by dedicate short-range communications (DSRC) for vehicular networking. In the near future, more vehicles will be equipped with DSRC devices because of governmental policies for driving safety. In this paper, we derive link delay model on a two-way road segment. This link delay model is essential to support multihop infrastructure-to-vehicle or vehicle-to-vehicle data delivery in vehicular networks as disruption tolerant networks. Through simulation, it is shown that our two-way link delay model is more accurate than the legacy two-way link delay model.

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References

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Acknowledgment

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2014006438). This research was supported in part by Global Research Laboratory Program (2013K1A1A2A02078326) through NRF, and the ICT R&D program of MSIP/IITP (14-824-09-013, Resilient Cyber-Physical Systems Research) and the DGIST Research and Development Program (CPS Global Center) funded by the Ministry of Science, ICT & Future Planning. Note that Jaehoon (Paul) Jeong is the corresponding author.

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Correspondence to Jaehoon (Paul) Jeong .

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© 2015 Springer International Publishing Switzerland

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Lee, J., Jeong, J.(., Du, D.H.C. (2015). Link Delay Modeling for Two-Way Traffic Road Segment in Vehicular Networks. In: Hsu, CH., Xia, F., Liu, X., Wang, S. (eds) Internet of Vehicles - Safe and Intelligent Mobility. IOV 2015. Lecture Notes in Computer Science(), vol 9502. Springer, Cham. https://doi.org/10.1007/978-3-319-27293-1_30

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  • DOI: https://doi.org/10.1007/978-3-319-27293-1_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27292-4

  • Online ISBN: 978-3-319-27293-1

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