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Fog Computing-Based Framework and Solutions for Intelligent Systems: Enabling Autonomy in Vehicles
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Author(s): Shashi (Department of Computer Application, CCS University Meerut, Meerut, India), M. Dhanalakshmi (Department of Computer Science and Engineering, New Horizon College of Engineering, Bangalore, India), K. Tamilarasi (School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India & VIT University, India), S. Saravanan (Department of Mechanical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India), G. Sujatha (Department of Networking and Communications, SRM Institute of Science and Technology, Chennai, India)and Sampath Boopathi (Department of Mechanical Engineering, Muthayammal Engineering College, Namakkal, India)
Copyright: 2024
Pages: 27
Source title:
Computational Intelligence for Green Cloud Computing and Digital Waste Management
Source Author(s)/Editor(s): K. Dinesh Kumar (Amrita Vishwa Vidyapeetham, India), Vijayakumar Varadarajan (The University of New South Wales, Australia), Nidal Nasser (College of Engineering, Alfaisal University, Saudi Arabia)and Ravi Kumar Poluru (Institute of Aeronautical Engineering, India)
DOI: 10.4018/979-8-3693-1552-1.ch017
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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.
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