Decentralized Estimation in Communication Networks with Delay.

Abstract

Previous work on decentralized estimation has assumed unlimited capacity on the communication channels between the sensors and the estimators. In practice, this is not possible; increased traffic rate leads to network congestion and decreased performance. This thesis develops optimum reporting schedules for sensors, routing schemes for messages and data fusion algorithms for intermediate nodes. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1984
Accession Number
ADA142376

Entities

People

  • A. Oezbek

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Channel Capacity
  • Communication Networks
  • Differential Equations
  • Electrical Engineering
  • Estimators
  • Frequency
  • Information Processing
  • Kalman Filters
  • Optimal Estimators
  • Peak Values
  • Probabilistic Models
  • Probability
  • Random Variables
  • Riccati Equation
  • Statistics
  • Two Dimensional

Fields of Study

  • Computer science

Readers

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