A Stochastic Optimization Model for the Placement of Road Site Units

Luis Urquiza-Aguiar; Carolina Tripp-Barba; Mónica Aguilar Igartua

Internet of Things. IoT Infrastructures. Second International Summit, IoT 360° 2015, Rome, Italy, October 27-29, 2015. Revised Selected Papers, Part I

Research Article

A Stochastic Optimization Model for the Placement of Road Site Units

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@INPROCEEDINGS{10.1007/978-3-319-47063-4_26,
    author={Luis Urquiza-Aguiar and Carolina Tripp-Barba and M\^{o}nica Aguilar Igartua},
    title={A Stochastic Optimization Model for the Placement of Road Site Units},
    proceedings={Internet of Things. IoT Infrastructures. Second International Summit, IoT 360° 2015, Rome, Italy, October 27-29, 2015. Revised Selected Papers, Part I},
    proceedings_a={IOT360},
    year={2017},
    month={1},
    keywords={Stochastic optimization Vehicular ad-hoc networks (VANETs) Road site unit (RSU) RSU deployment},
    doi={10.1007/978-3-319-47063-4_26}
}

Luis Urquiza-Aguiar
Carolina Tripp-Barba
Mónica Aguilar Igartua
Year: 2017
A Stochastic Optimization Model for the Placement of Road Site Units
IOT360
Springer
DOI: 10.1007/978-3-319-47063-4_26

Luis Urquiza-Aguiar¹^,*, Carolina Tripp-Barba²^,*, Mónica Aguilar Igartua¹^,*

1: Universitat Politècnica de Catalunya
2: Universidad Autonóma de Sinaloa (UAS)

*Contact email: luis.urquiza@entel.upc.edu, ctripp@uas.edu.mx, monica.aguilar@entel.upc.edu

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.

Keywords: Stochastic optimization Vehicular ad-hoc networks (VANETs) Road site unit (RSU) RSU deployment

Published: 2017-01-05
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-47063-4_26