D4V: a peer-to-peer architecture for data dissemination in smartphone-based vehicular applications
Author(s) -
Marco Picone,
Michele Amoretti,
Gianluigi Ferrari,
Francesco Zanichelli
Publication year - 2015
Publication title -
peerj computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.806
H-Index - 24
ISSN - 2376-5992
DOI - 10.7717/peerj-cs.15
Subject(s) - scalability , computer science , dissemination , overlay , peer to peer , context (archaeology) , distributed computing , overlay network , proof of concept , data collection , computer network , telecommunications , world wide web , database , the internet , paleontology , statistics , mathematics , biology , programming language , operating system
Vehicular data collection applications are emerging as an appealing technology to monitor urban areas, where a high concentration of connected vehicles with onboard sensors is a near future scenario. In this context, smartphones are, on one side, effective enablers of Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) applications and, on the other side, highly sophisticated sensing platforms. In this paper, we introduce an effective and efficient system, denoted as D4V, to disseminate vehicle-related information and sensed data using smartphones as V2I devices. D4V relies on a Peer-to-Peer (P2P) overlay scheme, denoted as Distributed Geographic Table (DGT), which unifies the concepts of physical and virtual neighborhoods in a scalable and robust infrastructure for application-level services. First, we investigate the discovery procedure of the DGT overlay network, through analytical and simulation results. Then, we present and discuss an extensive simulation-based performance evaluation (considering relevant performance indicators) of the D4V system, in a 4G wireless communication scenario. The simulation methodology combines DEUS (an application-level simulation tool for the study of large-scale systems) with ns-3 (a well-known network simulator, which takes into account lower layers), in order to provide a D4V proof-of-concept. The observed results show that D4V-based information sharing among vehicles allows to significantly reduce risks and nuisances (e.g., due to road defects and congestions)
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