SBIR-STTR Award

The needs of the future Airborne Network present unique challenges for performance monitoring, beyond the capabilities of conventional approaches: a fast-moving, dynamically adapting, heterogeneous RF network in need of real-time, end-to-end performance monitoring. We propose to research and develop innovative approaches that will help to ensure high quality performance throughout the Airborne Network. Our simulation study will indicate the approach most capable of operating efficiently, adapting to changing network conditions, and reporting accurately on current network performance.

Keywords:
Airborne Network, Rf-Link Performance, Simulation, Policy-Based Network Management

The needs of the future Airborne Network present unique challenges for performance monitoring, beyond the capabilities of conventional approaches: a fast-moving, dynamically adapting, heterogeneous RF network in need of real-time, end-to-end performance monitoring. We propose to research and develop innovative approaches that will help to ensure high quality performance throughout the Airborne Network. Our simulation studies will indicate the approach most capable of operating efficiently, adapting to changing network conditions, and reporting accurately on current network performance. A software prototype of our approach will be designed, developed, and emonstrated with simulated and real networks.

Keywords:
Airborne Network, Rf-Link Performance, Simulation, Policy Based Performance Management, End-To-End, Intelligent Agent, Quality Of Service