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A Stochastic Optimization Model for the Placement of Road Site Units

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Abstract

In this paper, we propose a simple and scalable optimization model for the deployment of road site units (RSUs). The model takes advantage of the inherent stochasticity provided by the vehicles’ movements by using mobility traces to determine which are the best positions to place RSUs to maximize connectivity in a multi-hop VANET scenario and keep the number of RSU as low as possible. Our simulations results validate that the solutions offered by our model are accurate.

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Acknowledgments

This work was partly supported by the Spanish Government through the projects TEC 2013-47665-C4-1-R “EMRISCO”, TEC2014-54335-C4-1-R “INRISCO” and by the Universidad Autónoma de Sinaloa (Mexico) through the project PROFAPI2014/215. Luis Urquiza-Aguiar is the recipient of a scholarship from SENESCYT and EPN (Ecuador).

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Correspondence to Luis Urquiza-Aguiar .

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Urquiza-Aguiar, L., Tripp-Barba, C., Aguilar Igartua, M. (2016). A Stochastic Optimization Model for the Placement of Road Site Units. In: Mandler, B., et al. Internet of Things. IoT Infrastructures. IoT360 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-319-47063-4_26

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  • DOI: https://doi.org/10.1007/978-3-319-47063-4_26

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47062-7

  • Online ISBN: 978-3-319-47063-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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