Planning under uncertainty for advanced networks of sensors and effectors
Abstract
We propose a three-year project that addresses fundamental challenges in planning and operation of a heterogeneous network of sensor and effector nodes for detection and influence of maritime traffic. Our project has two distinct but interrelated thrusts. In one, we seek to develop algorithms for planning and operating the network under a wide variety of sources of uncertainty. We seek rigorous but practical approaches that yield suboptimal solutions where the gap between the computed solution and the optimal solution satisfies a known bound. In the other thrust, we seek to develop a probabilistic framework that describes the possible effects on sensor mobility and performance from interaction between sensors of a defined range of properties (e.g., geometry, weight, sensor types) and environmental conditions (seabed properties, geomorphodynamics, local hydrodynamics) for anchored, laid, and buried sensors. The framework will be used in algorithms that compute sensor and effector node placement.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Oct 19, 2020
- Source ID
- N000142012845
Entities
People
- Daniel J. Stilwell
Organizations
- Office of Naval Research
- United States Navy
- Virginia Tech