Distributed Sensor Resource Management and Planning

@inproceedings{Khosla2007DistributedSR,
  title={Distributed Sensor Resource Management and Planning},
  author={Deepak Khosla and James Guillochon},
  year={2007}
}
The goal of sensor resource management (SRM) is to allocate resources appropriately in order to gain as much information as possible about a system. In our previous paper, we introduced a centralized non-myopic planning algorithm, C-SPLAN, that uses sparse sampling to estimate the value of resource assignments. Sparse sampling is related to Monte Carlo simulation. In the SRM problem we consider, our network of sensors observes a set of tracks; each sensor can be set to operate in one of several… CONTINUE READING