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The Journal of Supercomputing

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01-01-2016

Neighbor stability-based VANET clustering for urban vehicular environments

Authors: Jung-Hyok Kwon, Hyun Soo Chang, Taeshik Shon, Jai-Jin Jung, Eui-Jik Kim

Published in: The Journal of Supercomputing | Issue 1/2016

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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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Title: Neighbor stability-based VANET clustering for urban vehicular environments
Authors: Jung-Hyok Kwon
Hyun Soo Chang
Taeshik Shon
Jai-Jin Jung
Eui-Jik Kim
Publication date: 01-01-2016
Publisher: Springer US
Published in: The Journal of Supercomputing / Issue 1/2016
Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-015-1517-6

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