ADVANCEMENTS IN SECURE, PREDICTIVE, AND AUTONOMOUS SYSTEMS IN SMART GRID AND V2X ENVIRONMENTS

Cristina Reyes

Department of Computer Science, University of the Cordilleras, Harrison Road, Baguio City, 2600, Benguet, Philippines.

Clarisse Mendoza

Department of Computer Science, Nueva Ecija Technological University, Burgos Avenue, Cabanatuan City, 3100, Nueva Ecija, Philippines.


Abstract

This paper explores recent advancements in secure data handling, predictive maintenance, and autonomous navigation systems within the domains of smart grids, 5G networks, and Vehicle-to-Everything (V2X) environments. With the growing integration of 5G communication technologies, these fields are rapidly evolving to meet the complex demands of modern urban and industrial settings. We begin by discussing secure data handling protocols essential for remote monitoring systems enabled by 5G technology. Following this, we delve into predictive maintenance strategies powered by advanced data analytics, which are crucial for maintaining the reliability of smart grid operations. Furthermore, we explore autonomous navigation systems, focusing on multi-sensor data fusion and V2X communications that enhance vehicle performance in complex urban environments. The challenges posed by the deployment of Network Function Virtualization (NFV) in large-scale telecom networks are also examined, highlighting resource optimization techniques critical for future 5G implementations. This review synthesizes findings from numerous recent studies, offering insights into the challenges and innovations shaping these interconnected technological landscapes. The paper aims to provide a comprehensive overview that could guide future research and development in these rapidly advancing fields.

Most read articles by the same author(s)