Executive Summary
This paper introduces a Digital Twin-powered Internet of Military Vehicles (IoMV) framework for predictive maintenance and cyber-resilience. By creating virtual replicas of vehicles, the system enables real-time diagnostics and anomaly detection to improve maintenance efficiency and reduce failures. Simulations using SUMO and NS-3 demonstrated a 55% improvement in maintenance efficiency and a 40% reduction in unexpected failures, establishing a foundation for next-generation autonomous military logistics and enhanced survivability.
Why It Matters
This document is crucial for defense analysts as it outlines a paradigm shift in military vehicular intelligence, enabling self-healing systems and enhanced survivability in hostile environments through AI-driven, cyber-resilient IoMV architecture.
Key Takeaways
- The Digital Twin-powered IoMV framework significantly improves military vehicle maintenance efficiency by 55% and reduces unexpected failures by 40%.
- The system enhances operational readiness and minimizes non-battlefield casualties through continuous real-time diagnostics and proactive anomaly detection.
- This research establishes a foundation for next-generation autonomous military logistics and intelligent battlefield coordination, crucial for evolving digital battlefields.
- The framework addresses critical security challenges in military communications, ensuring data integrity against cyber threats from nation-state actors.
Strategic Relevance
This framework offers a strategic advantage by transforming military fleets into highly responsive, self-healing systems, thereby increasing operational uptime, reducing logistical burdens, and enhancing the survivability of assets in contested environments. It directly contributes to maintaining technological superiority and ensuring mission success through advanced predictive capabilities and cyber-resilience.