Distributed Communications Resource Management for Tracking and Surveillance Networks

Abstract

We present a market-like method for distributed communications resource management in the context of networked tracking and surveillance systems. This method divides communication resources according to the expected utility provided by information of particular types. By formulating the problem as an optimization of the joint utility of information flow rates, the dual of the problem can be understood to provide a price for particular routes. Distributed rate control can be accomplished using primal-dual iteration in combination with communication of these route prices. We extend the previous work on the subject in a few important ways. First, we consider utility functions that are jointly-dependent on flow rates, to properly account for geometric synergy that can occur in sensor fusion problems. Second, we do not require that the rate-update algorithms have explicit knowledge of utility functions. Instead, our update algorithms involve transmitting marginal utility values. We present simulation results to demonstrate the effectiveness of the technique.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2005
Accession Number
ADA476341

Entities

People

  • Brian Brewington
  • Edwin K. Chong

Organizations

  • Colorado State University

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Command And Control
  • Communication Networks
  • Control Systems
  • Data Association
  • Digital Communications
  • Electronic Mail
  • Flow Rate
  • Iterations
  • Literature
  • Network Topology
  • Networks
  • Observation
  • Optimization
  • Radar
  • Surveillance
  • Target Tracking

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Logistics and Supply Chain Management.
  • Operations Research