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

Author

Spenser D. Lee

Date of Award

3-11-2011

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Electrical and Computer Engineering

First Advisor

Kenneth M. Hopkinson, PhD.

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.

AFIT Designator

AFIT-GCS-ENG-11-04

DTIC Accession Number

ADA545857

Recommended Citation

Lee, Spenser D., "Routing UAVs to Co-Optimize Mission Effectiveness and Network Performance with Dynamic Programming" (2011). Theses and Dissertations. 1406.
https://scholar.afit.edu/etd/1406