Sensor Resource Management

Torch proposes to develop, test, and validate real-time BMDS Sensor Resource Management (SRM) algorithms using a scalable sensor network data fusion architecture which is both efficient and robust. Our Phase II SRM development approach is enabled by our Phase I validated "SORCIRER" (Scalable Optimization of Resources using Constrained Information Rate and Embedded Rules) SRM architecture. Our network-centric algorithm development approach is a key element since SRM performance is typically driven by getting the right information at the right time to the right place within C2BMC. Our Phase II SRM algorithm development approach leverages SORCIRER real-time event driven sensor tasking which is closely coupled with an efficient sensor Constraint Satisfaction Programming (CSP) environment. SORCIRER real-time SRM data/message communications facilitates the development of efficient SRM algorithms which can generate network sensor tasking via Information Rate. Short term SRM planning cycles within dynamic multi-sensor and multi-raid BMDS scenarios also dictate high computational processing loads which SORCIRER addresses via the proper choice of sensor constraint models within an efficient parallel processing architecture.