5G on the Roads: Latency-Optimized Federated Analytics in the Vehicular Edge
  • Metaadatok
Tartalom: http://real.mtak.hu/174198/
Archívum: REAL
Gyűjtemény: Status = Published
Type = Article
Subject = Q Science / természettudomány: QA Mathematics / matematika: QA76.527 Network technologies / Internetworking / hálózati technológiák, hálózatosodás
Cím:
5G on the Roads: Latency-Optimized Federated Analytics in the Vehicular Edge
Létrehozó:
Toka, László
Konrád, Márk
Pelle, István
Sonkoly, Balázs
Szabó, Marcell
Kiadó:
IEEE
Dátum:
2023
Téma:
QA76.527 Network technologies / Internetworking / hálózati technológiák, hálózatosodás
Tartalmi leírás:
Coordination among vehicular actors becomes increasingly important at the dawn of autonomous driving. With communication serving as the basis for this process, latency emerges as a critical limiting factor in information gathering, processing, and redistribution. While these processes have further implications on data privacy, they are also fundamental in safety and efficiency aspects. In this work, we target exactly these areas: we propose a privacy-preserving system for collecting and sharing data in highmobility automotive environments that aims to minimize the latency of these processes. Namely, we focus on keeping high definition maps (highly accurate environmental and road maps with dynamic information) up-to-date in a crowd-sourced fashion. We employ federated analytics for privacy-preserving, low-latency, scalable processing and data distribution running over a two-tiered infrastructural layout consisting of mobile vehicular nodes and static nodes leveraging the low latency, high throughput and broadcast capabilities of the 5G edge. We take advantage of this setup by proposing queuing theory based analytical models and optimizations to minimize information delivery latency. As our numerical simulations over wide parameterranges indicate, the latency of timely data distribution can be decreased only with careful system planning and 5G infrastructure. We obtain the optimal latency characteristics in densely populated central metropolitan scenarios when Gb/s uplink speeds are achievable and the coverage area (map segment size) can reach a diameter of 1 km.
Nyelv:
angol
Típus:
Article
PeerReviewed
info:eu-repo/semantics/article
Formátum:
text
Azonosító:
Toka, László and Konrád, Márk and Pelle, István and Sonkoly, Balázs and Szabó, Marcell (2023) 5G on the Roads: Latency-Optimized Federated Analytics in the Vehicular Edge. IEEE ACCESS, 11. pp. 81737-81752. ISSN 2169-3536
Kapcsolat:
DOI: 10.1109/ACCESS.2023.3301330
Létrehozó:
cc_by_nc_nd