Robust Multi-Agent Sensor Network Systems

Abstract

Results obtained with the grant fall into several groupings: (a) Combinatorial conditions on the graphical representation of a two dimensional sensor network that will guarantee localizability of the network in the event of loss of any p sensors and/or q links in the network, for nonnegative integers p and q; (b) analysis of the effects of measurement error on the quality of localization of sensor positions in a sensor network, or more generally a target being localized; (c) the derivation of a measure, including algorithms for computing it, of the quality of connectivity of a network modeled by a graph with nodes and links, and in which the individual links are operative with defined a priori probabilities, and the probability that any one link is operative is independent of the probability that any other link is operative; (d) connectivity and capacity of networks with randomly positioned nodes and probabilistic channel models; (e) Doppler localization problems and miscellaneous multi-agent problems.

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Document Details

Document Type
Technical Report
Publication Date
May 08, 2012
Accession Number
ADA560933

Entities

People

  • Adrian Bishop
  • Brian D. Anderson
  • Changbin Brad Yu
  • Guoqiang Mao

Tags

Communities of Interest

  • Cyber
  • Electronic Warfare
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Sensors

DTIC Thesaurus Topics

  • Cellular Networks
  • Communication Channels
  • Computer Networks
  • Control Systems
  • Detectors
  • Doppler Effect
  • Electronic Mail
  • Information Processing
  • Information Science
  • Mesh Networks
  • Multiagent Systems
  • Multiple Access
  • Network Science
  • Sensor Networks
  • Three Dimensional
  • Two Dimensional
  • Wireless Communications

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Neural Network Machine Learning.
  • Operations Research