Abstract
Aiming at a realistic mobile connectivity model for vehicular sensor networks in urban environments, we propose the combination of large-scale traffic simulation and computational tools to characterize fundamental graph-theoretic parameters. To illustrate the proposed approach, we use the DIVERT simulation framework to illuminate the temporal evolution of the average node degree in this class of networks and provide an algorithm for computing the transitive connectivity profile that ultimately determines the flow of information in a vehicular sensor network. © 2008 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Conceição, H., Ferreira, M., & Barros, J. (2008). On the Urban connectivity of vehicular sensor networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5067 LNCS, pp. 112–125). https://doi.org/10.1007/978-3-540-69170-9_8
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