Emerging Technologies in Secure Data Sharing, Predictive Maintenance, and Autonomous Systems in 5G Networks

Authors

  • Tran Minh Tuan Department of Computer Science, Dai Hoc Da Nang - Truong Dai Hoc Su Pham Ky Thuat, Duong Nguyen Luong Bang, Phuong Hoa Khanh Nam, Quan Lien Chieu, Da Nang, 550000, Vietnam.
  • Pham Thi Hoa Department of Computer Science, Dai Hoc Khoa Hoc Ung Dung, Duong Nguyen Tat Thanh, Phuong Hoa Hiep Bac, Quan Lien Chieu, Da Nang, 550000, Vietnam.

Abstract

This paper explores the integration of 5G communication, UAV systems, predictive maintenance, and NFV to address challenges in healthcare, smart grids, and autonomous vehicle navigation. The rapid development of 5G-enabled technologies has transformed secure data sharing in healthcare networks, optimized smart grid performance, and enhanced autonomous driving capabilities. These advancements, driven by multi-source data fusion, machine learning, and hybrid V2X-UAV frameworks, demonstrate the potential of modern technologies to revolutionize existing systems. This paper reviews the state-of-the-art approaches in predictive maintenance, secure communication protocols, and sensor fusion, highlighting the critical role of 5G and advanced analytics. The research focuses on the technological synergies and innovations that drive these applications, discussing the challenges, benefits, and future implications of integrating these systems. By drawing on diverse studies, this paper aims to provide a comprehensive overview of the latest advancements in 5G-enabled networks and their impact on healthcare, smart grid optimization, and autonomous vehicle navigation.

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Published

2024-09-04

How to Cite

Tuan, T. M., & Hoa, P. T. (2024). Emerging Technologies in Secure Data Sharing, Predictive Maintenance, and Autonomous Systems in 5G Networks. Journal of Humanities and Applied Science Research, 7(9), 1–15. Retrieved from https://journals.sagescience.org/index.php/JHASR/article/view/179