Uncertainties on Networks

Abstract

Models in space and space-time are essential for representing the battlespace. For example, they are used in estimating a dynamically evolving danger function or in predicting a waypoint in the presence of uncertainties. In netcentric warfare, the uncertainties reside not only in the variables at the network's nodes, but also in the presence or absence of network nodes and the dependencies between the nodes. This occurs when a node may only be operational intermittently or when the enemy's network is unknown, apart from a few obvious nodes. In this research, we incorporate spatial and spatio-temporal dependencies into the analysis of network data.

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Document Details

Document Type
Technical Report
Publication Date
Jun 03, 2011
Accession Number
ADA544998

Entities

People

  • Noel A. Cressie

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Bayesian Inference
  • Bayesian Networks
  • Climate Change
  • Data Mining
  • Data Science
  • Department Of Defense
  • Geography
  • Information Science
  • Jet Propulsion
  • Network Centric Warfare
  • Network Science
  • Operations Research
  • Probability
  • Probability Distributions
  • Reasoning
  • Statistical Analysis
  • Statistics

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.

Technology Areas

  • Space