Routing UAVs to Co-Optimize Mission Effectiveness and Network Performance with Dynamic Programming

Abstract

In support of the Air Force Research Laboratory's (AFRL) vision of the layered sensing operations center, command and control intelligence surveillance and reconnaissance (C2ISR) more focus must be placed on architectures that support information systems, rather than just the information systems themselves. By extending the role of UAVs beyond simply intelligence, surveillance, and reconnaissance (ISR) operations and into a dual-role with networking operations we can better utilize our information assets. To achieve the goal of dual-role UAVs, a concrete approach to planning must be taken. This research defines a mathematical model and a non-trivial deterministic algorithmic approach to determining UAV placement to support ad-hoc network capability, while maintaining the valuable service of surveillance activities.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2011
Accession Number
ADA545857

Entities

People

  • Spenser D. Lee

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Command And Control
  • Command And Control Systems
  • Control Systems
  • Information Systems
  • Mathematical Models
  • Mesh Networks
  • Military Communications
  • Network Science
  • Network Topology
  • Radio Communications
  • Surveillance
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Warfare
  • Wireless Communications

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control