Communication Architecture in Mixed-Reality Simulations of Unmanned Systems.

Area of Science:

• Engineering
• Computer Science
• Robotics

Background:

• Verification of multi-vehicle systems in high-fidelity scenarios is essential before deployment in applications like remote sensing and mobile sensor networks.
• Mixed-reality simulations, integrating virtual and physical entities, offer a beneficial environment for developing, testing, and verifying complex systems.

Purpose of the Study:

• To address the challenges in designing a communication subsystem for realistic mixed-reality simulations of multi-vehicle systems.
• To specify requirements for such a subsystem, including addressing, routing, visibility modeling, and message management.

Main Methods:

• Proposed a novel communication subsystem architecture designed to handle simultaneous virtual and physical message transmissions.
• Developed solutions for challenges arising from mixed-reality message transmissions.
• Utilized real vehicle trajectories to create implicit mobility models within the simulator.

Main Results:

• The proposed architecture functions as a high-fidelity network simulator for vehicular systems.
• Experimental results demonstrate that the communication characteristics of the mixed-reality setup closely match those of a fully deployed hardware setup.
• The architecture has been successfully applied in multi-unmanned aerial vehicle (UAV) system development projects.

Conclusions:

• The developed mixed-reality communication subsystem architecture is viable and advantageous for simulating and verifying multi-vehicle systems.
• This approach provides a realistic and efficient method for testing complex vehicular communication networks.