First responders frequently rely on uncrewed aircraft systems (UAS) to gather data and provide situational awareness in dangerous environments with degraded communications. The UAS portfolio performs research on communications technology within these systems to support the advancement and deployment of solutions that are reliable and operationally effective. Through this work, the UAS portfolio drives innovation and commercialization to improve the tools critical for myriad mission critical operations.
Uncrewed Aircraft Systems Portfolio Mission:
To advance the capabilities of uncrewed aircraft systems and provide safe, effective, and reliable solutions to first responder in their crucial missions by conducting cutting-edge research for emergency response operations.
Uncrewed Aircraft Systems Portfolio Vision:
To lead the innovation of uncrewed aircraft system technology that supports public safety efforts in disasters or emergency situations with degraded or destroyed communications infrastructure.
UAS swarms—multiple drones operating autonomously in coordination to achieve common goals—while currently inaccessible to public safety operations due to technological and regulatory constraints, can be effective tools in evaluating and managing large disaster scenes, such as wildland fires or wide-area search-and-rescue operations. However, current first responder communications (e.g., LTE or Wi-Fi links) are limited in range and capacity when scaling to many drones, and streaming video or telemetry from numerous UAS can overwhelm networks. The PSCR UAS portfolio is addressing this issue by developing a single-link and mesh network performance test methodology, which enables evaluation of communications in point-to-point, single-link and UAS swarm configurations by measuring end-to-end throughput, latency, and packet loss rates for UAS networks. Previous results contributing to this project come from the First Responder Wireless Data Gatherer and First Responder UAS Triple Challenge: LifeLink, with future project outcomes expected to be crucial for generating data to define practical limits and best approaches to optimize single-link UAS or drone swarm configurations for public safety operations.
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