Date of Award
3-18-2009
Document Type
Thesis
Degree Name
Master of Science in Electrical Engineering
Department
Department of Electrical and Computer Engineering
First Advisor
Kenneth M. Hopkinson, PhD
Abstract
This research effort examines, models, and proposes options to enhance command and control for decision makers when applied to the communications network. My goal is to research the viability of combining three students’ past research efforts and expanding and enhancing those efforts. The area of this research is predicting a snapshot of the communications network, context-aware routing between network nodes, and Quality of Service-based routing optimization in order to create an intelligent routing protocol platform. It will consolidate efforts from an Intelligent Agent Based Framework to Maximize Information Utility by Captain John Pecarina, Dialable Cryptography for Wireless Networks by Major Marnita Eaddie, and Stochastic Estimation and Control of Queues within a Computer Network by Captain Nathan Stuckey. My research effort will create a framework that is greater than the sum of its individual parts. The framework will take predictions about the health of the network and will take the priority level of a commodity which needs to be routed, and then will utilize this information to intelligently route the commodity in such a way as to optimize the information flow of network traffic. Developing this framework will ensure that the forward commander and decision makers can make sound judgments at the right time using the most accurate information and on the proper communications network.
AFIT Designator
AFIT-GE-ENG-09-36
DTIC Accession Number
ADA499998
Recommended Citation
Reese, Cindy C., "Decisive Routing and Admission Control According to Quality of Service Constraints" (2009). Theses and Dissertations. 2556.
https://scholar.afit.edu/etd/2556