The Application of Artificial Intelligence to the Management of the Army's Mobile Subscriber Equipment Communications System
Abstract
The U.S. Army's tactical area communications system for the next 15- 20 years will be the Mobile Subscriber Equipment (MSE) system. The Army expects MSE networks to carry the bulk of the voice and data communications between tactical command posts. The men and women who manage the MSE system need better network management tools than they currently have. Unfortunately, the Army faces an era of reduced budgets and cannot afford expensive solutions to its network management problems. This thesis explores the potential to use Artificial Intelligence (AI) techniques in network management tools. It begins with descriptions of MSE and AI. The thesis analyzes the MSE network management problem and the potential for the development of AI-based tools. It concludes that commercial network management tools could not be directly applied to MSE but they do provide a framework to design MSE network management tools. The thesis concludes with a recommendation for an objective network management architecture. This architecture incorporates solutions to the major network management problems. The Army could use this architecture to provide direction to its major vendors and a baseline to evaluate vendor proposals against.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1992
- Accession Number
- ADA254112
Entities
People
- Charles E. Lane Jr.
Organizations
- University of Colorado Boulder