Develop Measures of Effectiveness and Deployment Optimization Rules for Networked Ground Micro-Sensors
Abstract
Future combat systems planned for the 2008 timeframe and beyond require medium size armament vehicles that fit onto C-130 airplanes, and smaller deployed forces that are capable of covering a greater area within a complex environment. Command, control surveillance and reconnaissance capabilities are vital to the success of any mission. With this reduction in forces and the armament they use, comes a requirement for increased intelligence and knowledge of the battlefield. Networked ground micro-sensors represent one aspect available to enhance the US Army's capabilities for covering Beyond Line of Sight (BLOS) areas and joins in with Unmanned Aerial Vehicles (UAV) and Unmanned Ground Vehicles (UGV) for gaining dominant situational awareness across all echelons of the future battlefield. This thesis presents a methodology for determining measures of effectiveness for guidance in developing rules for employing networked ground micro-sensors on the battlefield. These rules and guidelines help users to understand how networked sensors can best be employed on the battlefield. The thesis process: (1) uses a systems engineering framework to understand the problem, (2) literature research to understand networked sensor capabilities, (3) develops a framework for determining measures of effectiveness for a system, (4) demonstrates the application of statistical tools such as Response Surface Methodology (RSM), which is used to develop sensor employment rules, and (6) uses a computer simulation to test experimental designs and obtain outputs (i.e., measures of effectiveness values).
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 2001
- Accession Number
- ADA391863
Entities
People
- Linda M. Lamm
Organizations
- Air University