User-Friendly Method to Optimize the Network of a Cyber-Physical System

Many cyber-physical systems (CPS), such as self-driving cars, require numerous components working together, which can result in a complex network. This research focused on user-friendly network optimization methods on the autonomous vehicle at the University of Arizona. The method verified that the network operated under cost, bandwidth, latency (time delay in the transfer of information) and processing power constraints. Operating within these constraints ensures that the system is safe and efficient. The optimization method discussed in this poster can be customized for any cyber-physical system.