Enhancing Smart Grid and Autonomous Systems through 5G Networks and Multi-Source Data Integration

Abstract

The rapid evolution of 5G technology has significantly influenced the development of resilient and efficient smart grid and autonomous driving systems. This paper examines the integration of 5G networks, multi-source data fusion, and advanced security protocols to enhance the performance and reliability of these critical infrastructures. We explore various mechanisms that facilitate secure communication, efficient data handling, and predictive maintenance within smart grids and autonomous driving environments. The discussion encompasses the implementation of network function virtualization (NFV) for cost-efficient network management and the strategic integration of big data analytics for maintenance and operational optimization. Additionally, the paper delves into the challenges of authentication and security within 5G-enabled medical devices and smart grids, highlighting advanced protocols designed to address these vulnerabilities. By synthesizing research from various studies, this paper provides a comprehensive overview of current technologies and proposes a framework for future advancements in smart grid and autonomous system operations. The findings suggest that combining 5G capabilities with multi-source data integration can significantly enhance system resilience, reduce operational costs, and improve overall system performance.