Distributed Decisions for Networked Systems

Abstract

We summarize three problems. In the first problem, we study the impact of communication constraints on delay-critical problems of distributed computation. We consider networks of agents, each having access to some partial information, which aim at computing some application-specific function of the global information. Computation has to be completely distributed, i.e., agents can rely on the local observations only, while iteratively processing the available information, and communicating through digital noisy channels. As large delays can be detrimental for the overall system performance, it is critical to design distributed algorithms which perform such computation in the quickest possible way. We present tight lower bounds on the computation delay that capture the connectivity of the network as well as the channel characteristics.

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Document Details

Document Type
Technical Report
Publication Date
Jan 19, 2012
Accession Number
ADA563670

Entities

People

  • Munther A. Dahleh

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Communication Channels
  • Computations
  • Department Of Defense
  • Dynamic Programming
  • Errors
  • Information Theory
  • Linear Programming
  • Observation
  • Optimization
  • Order Statistics
  • Probability
  • Probability Distributions
  • Random Variables
  • Stochastic Processes
  • Unmanned Vehicles
  • Vehicles

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Radio communications and signal processing.