REAL-TIME PROCESSING IN AUTONOMOUS VEHICLE NETWORKS: A DISTRIBUTED EDGE-CLOUD ARCHITECTURE FOR ENHANCED AUTONOMOUS VEHICLE PERFORMANCE

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 for Enhanced Autonomous Vehicle Performance https://iaeme.com/Home/journal/IJRCAIT2829