An Integrated Framework for Controlled Mobility in Ad-hoc Network

Abstract

The overall goal of the research proposed here is to develop a framework for controlled mobility in ad-hoc networks that integrates data ferrying in sparse or delay tolerant networks with local decentralized control for improved real-time network flow. Ferrying route design using reinforcement learning has been developed and demonstrated in simulation. It has been shown to exceed the performance of competing methods.

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Document Details

Document Type
Technical Report
Publication Date
Jul 09, 2009
Accession Number
ADA575556

Entities

People

  • Eric Frew
  • Timothy Brown

Organizations

  • University of Colorado Boulder

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Ad Hoc Networks
  • Aircrafts
  • Communication Networks
  • Computer Science
  • Computing System Architectures
  • Control Systems
  • Disruption Tolerant Networks
  • Electrical Engineering
  • Mesh Networks
  • Networks
  • Reinforcement Learning
  • Sensor Networks
  • Simulations
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Wireless Communications
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Neural Network Machine Learning.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Neural Networks