Treffer: Strategies to Plan the Number and Locations of RSUs for an IEEE 802.11p-based Infrastructure in Urban Environment

Title:
Strategies to Plan the Number and Locations of RSUs for an IEEE 802.11p-based Infrastructure in Urban Environment
Contributors:
Universitat Politècnica de Catalunya = Université polytechnique de Catalogne [Barcelona] (UPC), Holistic Wireless Networks (hownet), Laboratoire de l'Informatique du Parallélisme (LIP), École normale supérieure de Lyon (ENS de Lyon), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure de Lyon (ENS de Lyon), Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS), University of Ottawa [Ottawa]
Source:
MSWiM 2023 - 26th International Conference on Modeling. :301-305
Publisher Information:
CCSD; ACM, 2023.
Publication Year:
2023
Collection:
collection:ENS-LYON
collection:CNRS
collection:UNIV-LYON1
collection:LIP
collection:UDL
collection:UNIV-LYON
Subject Geographic:
Original Identifier:
HAL: hal-04363387
Document Type:
Konferenz conferenceObject<br />Conference papers
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.1145/3616388.3617546
DOI:
10.1145/3616388.3617546
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.hal.04363387v1
Database:
HAL

Weitere Informationen

In this paper, we propose different strategies to efficiently deploy RSUs in a city with the ultimate goal of having an 802.11p-based infrastructure to deliver Internet services. Unlike most existing works, (i) our strategies' only prior information is the average density of vehicles in the studied area, and (ii) they rely on the forecast of a performance model of 802.11p to assist and guide their choices regarding the location of RSUs. With the help of two simulators, namely SUMO and ns-3, we investigate the behavior of each strategy in three scenarios inspired by the street map of real-life major cities. Our findings are twofold: (i) we demonstrate that any efficient RSUs deployment is tightly tied to the specifics of the considered city (namely, the arrangement of streets and the spatial density of vehicles); (ii) the best strategy is not to position RSUs where the traffic density is at its highest, nor at the street junctions where the traffic density is often at its highest but instead where they will be able to deliver the target QoS to a maximum number of vehicles.