5G-LRVN: Latency Reduction Framework for SDVN using Fog Computing

Vehicular networks provide the roadside connectivity and facilitate the requested information among users while driving. It connects a large number of vehicles with hierarchical infrastructure elements for the use of various vehicle control and the traffic control that is real-time. Applications demand better sharing of the information as the density of vehicles and information is increasing. The efficiency of information selection and the retrieval of traffic information is determined by decisions made in the past and present. When a driver uses the traffic and vehicle management program, this prevents extraneous information from getting in the way. By presenting a framework for the network of vehicles which makes use of SDN with 5G and fog computing, this research offers a safe information exchange paradigm that combines faster data transfer speeds with security.

Authors

Institutions

Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/acet61898.2024.10730641
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

5G-LRVN: Latency Reduction Framework for SDVN using Fog Computing

Righa Tandon, Ajay Verma, P. K. Gupta
Software-Defined Networks and 5G
article

5G-LRVN: Latency Reduction Framework for SDVN using Fog Computing

Righa Tandon, Ajay Verma, P. K. Gupta
article en

Abstract

Vehicular networks provide the roadside connectivity and facilitate the requested information among users while driving. It connects a large number of vehicles with hierarchical infrastructure elements for the use of various vehicle control and the traffic control that is real-time. Applications demand better sharing of the information as the density of vehicles and information is increasing. The efficiency of information selection and the retrieval of traffic information is determined by decisions made in the past and present. When a driver uses the traffic and vehicle management program, this prevents extraneous information from getting in the way. By presenting a framework for the network of vehicles which makes use of SDN with 5G and fog computing, this research offers a safe information exchange paradigm that combines faster data transfer speeds with security.

Jaypee University of Information Technology (IN), Chitkara University (IN)
Openalex Percentile: Top 79%
Software-Defined Networks and 5G
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.