Date of Award


Document Type


Degree Name

Master of Science in Cyber Operations


Department of Electrical and Computer Engineering

First Advisor

Barry E. Mullins, PhD


It is difficult for first-responders to quickly locate casualties in an emergency environment such as an explosion or natural disaster. In order to provide another tool to locate individuals, this research attempts to identify and estimate the location of devices that would likely be located on or with a person. A variety of devices, such as phones, smartwatches, and Bluetooth-enabled locks, are tested in multiple environments and at various heights to determine the impact that placement and interference played in locating the devices. The hypothesis is that most Bluetooth devices can be successfully enumerated quickly, but cannot be accurately located at distances over one meter using a device-agnostic method, and that the height does not have a significant impact on signal strength while the environment does.

AFIT Designator


DTIC Accession Number