Abstract
In this paper, we propose a neighbor stability-based VANET clustering (NSVC) that can efficiently deliver data in urban vehicular environments. The salient features of urban vehicles are their high mobility and unpredictable direction of movement, so vehicle-to-vehicle and vehicle-to-infrastructure (V2X) communication should take into consideration the frequent changes in the topology of vehicular ad hoc networks (VANETs). These technical challenges are addressed with NSVC by including a neighbor stability-based VANET clustering scheme and the corresponding supplementary transmission scheduling method. Thereby, NSVC supports fast cluster formation, minimizes the number of cluster head elections, and moreover guarantees the reliable delivery of data for emergency messages. The results of the simulation indicate that NSVC achieves better network performance when compared to existing approaches.
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Acknowledgments
This research was supported in part by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2014R1A1A2057641), by the ICT R&D program of MSIP/IITP [B0101-14-0059, Human Resource Development Program for Future Internet], and by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2015-R0992-15-1006) supervised by the IITP (Institute for Information & communications Technology Promotion).
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Kwon, JH., Chang, H.S., Shon, T. et al. Neighbor stability-based VANET clustering for urban vehicular environments. J Supercomput 72, 161–176 (2016). https://doi.org/10.1007/s11227-015-1517-6
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DOI: https://doi.org/10.1007/s11227-015-1517-6