Fog Computing-Based Framework and Solutions for Intelligent Systems

Abstract

The automotive industry is increasingly focusing on autonomous vehicles, leading to a need for intelligent systems that enable safe and efficient self-driving. Fog computing is a promising paradigm for real-time data processing and communication in autonomous vehicles. This chapter presents a comprehensive framework and solutions for integrating fog computing into intelligent vehicle systems, enabling autonomous features, low-latency data processing, reliable communication, and enhanced decision-making capabilities. By offloading computational tasks to nearby fog nodes, this framework optimizes resource utilization, reduces network congestion, and enhances vehicle autonomy. The chapter discusses various use cases, architectures, communication protocols, and security considerations within fog computing, ultimately contributing to the evolution of intelligent and autonomous vehicles.