Platooning of cars or trucks is one of the most relevant applications of autonomous driving, since it has the potential to greatly improve efficiency in road utilization and fuel consumption. Traditional proposals of vehicle platooning were based on distributed architectures with computation on board platoon vehicles and direct vehicle-to-vehicle (V2V) communications (or Dedicated Short Range Communication - DSRC), possibly with the support of roadside units. However, with the introduction of the 5G technology and of computing elements at the edge of the network, according to the multi-access edge computing (MEC) paradigm, the possibility emerges of a centralized control of platoons through MEC, with several significant advantages with respect to the V2V approach. For this reason, in this paper we investigate the feasibility of vehicle platooning in a centralized scenario where the control of vehicle speed and acceleration is managed by the network through its MEC facilities, possibly with a platooning-as-a-service (PaaS) paradigm. Using a detailed simulator, we show that, with realistic values of latency and packet loss probability, large platoons can be effectively controlled by MEC hosts.
Platooning on the edge / C. Quadri, V. Mancuso, M. Ajmone Marsan, G.P. Rossi - In: MSWiM '20: Proceedings / [a cura di] M. Aguilar Igartua, P. Bellavista, A.A.F. Loureiro, C. Giannelli. - [s.l] : ACM, 2020. - ISBN 9781450381178. - pp. 1-10 (( Intervento presentato al 23. convegno Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM '20) tenutosi a Alicante nel 2020.
|Titolo:||Platooning on the edge|
|Parole Chiave:||Platooning; MEC; Simulation|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
Settore ING-INF/03 - Telecomunicazioni
|Data di pubblicazione:||2020|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1145/3416010.3423220|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|
File in questo prodotto:
|Platooning_MSWiM_2020_camera_ready_preprint_AIR.pdf||Pre-print (manoscritto inviato all'editore)||Open Access Visualizza/Apri|
|3416010.3423220.pdf||Publisher's version/PDF||Administrator Richiedi una copia|