Enhanced Augmented Reality Applications in Vehicle-to-Edge Networks

Pengyuan Zhou, Wenxiao Zhang, Tristan Braud, Pan Hui, Jussi Kangasharju

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review

Sammanfattning

Vehicular communication applications, be it for driver-assisting augmented reality systems or fully driverless vehicles, require an efficient communication architecture for timely information delivery. Centralized, cloud-based infrastructures present latencies too high to satisfy the requirements of emergency information processing and transmission. In this paper, we present EARVE, a novel Vehicle-to-Edge infrastructure, with computational units co-located with the base stations and aggregation points. Embedding computation at the edge of the network allows to reduce the overall latency compared to vehicle-to-cloud and significantly trim the complexity of vehicle-to-vehicle communication. We present the design of EARVE and its deployment on edge servers. We implement EARVE through a bandwidth-hungry, latency constrained real-life application. We show that EARVE reduces the latency by up to 20% and the bandwidth at the server by 98% compared to cloud solutions at city scale.

Originalspråkengelska
Titel på gästpublikationPROCEEDINGS OF THE 2019 22ND CONFERENCE ON INNOVATION IN CLOUDS, INTERNET AND NETWORKS AND WORKSHOPS (ICIN)
RedaktörerA Galis, F Guillemin, R Noldus, S Secci, F Idzikowski, MF Sayit
Antal sidor8
UtgivningsortNew York
FörlagIEEE
Utgivningsdatum2019
Sidor167-174
ISBN (elektroniskt)978-1-5386-8336-1
DOI
StatusPublicerad - 2019
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangConference on Innovation in Clouds, Internet and Networks - Paris, Frankrike
Varaktighet: 18 feb 201921 feb 2019
Konferensnummer: 22

Publikationsserier

NamnConference on Innovations in Clouds Internet and Networks
FörlagIEEE
ISSN (elektroniskt)2472-8144

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  • 113 Data- och informationsvetenskap

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