Autonomous Private 5G Field Area Networks: Achieving Secure, Scalable, and Self-Healing Smart Grid Communications
Mohit Singh, Bhaksara Rallabandi, Krishna Kumar Gattupalli, Monish Sai Medarametla
Abstract
The increasing complexity of smart grid processes requires secure, scalable and resilient communication infrastructures. In this paper, a proposal will be made to an autonomous Private 5G Field Area Network (FAN) architecture that is intended to deliver self-healing, low-latency, and energy-efficient communication to smart grids. The methodology comprises a hybrid optimization algorithm that combines quantum-inspired search that optimizes along with adaptive fault-tolerance mechanisms to provide dynamic rerouting and predictive maintenance whenever there are node or links failures. A full simulation was carried out based on 5G-enabled FANs and compared with the suggested system with the traditional LTE and standard 5G FAN representation. The findings show that a major latency (up to 25 percent) reduction, energy savings (approximately 18 percent) and increase in reliability (with over 98 percent packet delivery ratios) were observed during faulty conditions. The results indicate that autonomous Private 5G FANs could be a scalable backbone in future smart grids to provide continuous and secure and flexible communications when deployed on medium or large scales.