Resilient real-time network architectures research at the George H.W. Bush Combat Development Complex develops novel algorithms and architectures to ensure reliable communication in highly dynamic and adversarial conditions. Future tactical environments will demand robust, real-time information exchange across unmanned systems and human operators, even when communications are degraded, disrupted, or contested. By integrating adaptive networking, information-centric design, and artificial intelligence (AI) / machine learning (ML)-enabled prediction, this research ensures mission-critical data remains available to support autonomous collaboration and informed decision-making.
Objective
To advance resilient, real-time networks for autonomous vehicle communications through:
- Reliable, adaptive information flow in contested and dynamic environments
- Real-time network reconfiguration and orchestration
- AI/ML-enabled situational awareness and predictive network management
- Prototyping and demonstration with human–machine teams
Capabilities
- Federated Information Processing
Pathways for sensing, aggregation, computation, and control across distributed systems - Adaptive Networking
Real-time reconfiguration and resilience to communication link or node failures - AI/ML-Enhanced Resilience
Predictive analytics for situational awareness and network status forecasting - Multi-Layer Optimization
Overlay services for resilient flow operations and multi-stream optimization - Advanced Communications
Adaptive millimeter-wave (5G) and robust architectures for contested environments - Hardware Testbeds
Field-demonstration systems including:- Silvus radios
- Jackal and Warthog UGVs (Unmanned Ground Vehicles)
- Astros UAVs (Unmanned Aerial Vehicles)
- Ouster 3D LiDARs (Light Detection and Ranging)
Resilient Real-Time Network Architectures
