Gregory Zaborsky

Institution: 
Saddleback Community College
Major: 
Electrical Engineering
Year: 
2015

Compressive Signal Strength Mapping in Various Fading Environments

In this project, we consider compressive signal strength mapping in various fading environments.  While understanding past framework that allowed robots to build a map of an environment, we were able to analyze various environments signal strength with only Wi-Fi.  By analyzing these various environments through MATLAB, we proved how each environment had a specific amount of measurements needed to produce a signal strength map.  This work allowed the nodes to have prior signal knowledge of the environment before entering.  Allowing nodes to avoid communication failures and ultimately accomplishing a task.  Finding the right signal map for the job is the bottom line.  The future of compressive signal strength mapping in various fading environments is highly evident in the progression of robot technology.  The true gem is what it promotes.  It promotes a safer, energy efficient and connected environment.  Signal strength mapping assists us in our ability in multiple applications: search and rescue, see through wall imaging with only Wi-Fi and communication aware robotics.  It provides security and peace, helping us with past problems and creates comfort within our mind.  Overall, supplying the public and industries with an effective communication tool can inspire and motivate, leading them to explore new possibilities in the future. 

UC Santa Barbara Center for Science and Engineering Partnerships UCSB California NanoSystems Institute