Real-time Processing in Autonomous Vehicle Networks: a Distributed Edge-cloud Architecture for Enhanced Autonomous Vehicle Performance
Year: 2024
Type: article
Abstract: The rapid evolution of autonomous vehicle networks demands advanced real-time data processing capabilities to ensure safety, efficiency, and seamless operation.This article presents a novel approach to real-time processing within these networks, leveraging scalable, low-latency cloud architectures and edge computing to support instantaneous data analysis and decision-making.By distributing computational tasks across edge nodes and centralized cloud platforms, our solution minimizes latency, Real-Time Processing in Autonomous Vehicle Networks: A Distributed Edge-Cloud Architecture forEnhanced Autonomous Vehicle Performance
Author: Sandeep Konakanchi
Institution: Southwest Airlines (United States)
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4406039663