Energy efficient data driven distributed traffic simulations

With the growing capabilities of the Internet of Things and proliferation of mobile devices interest in the use of real-time data as a means for input to distributed online simulations has increased. Online simulations provide users with the ability to utilize real-time data to make adaptations to the system, e.g., to adjust to unexpected events. One problem that arises when using these systems on mobile devices is that they are dependent upon the device’s stored energy. It is vital to understand how all components of such a system use the stored energy in order to understand how to develop such systems for energy constrained environments. One aspect of this thesis is to examine the role that discrete event driven and cellular automata models have on energy consumption in embedded systems. Discrete event driven simulations are dependent on a future event list for execution. It is important to understand the affect of the data structure for the future event list on energy consumption when running such simulations in embedded systems. This thesis presents a characterization of the relationship between the operations performed on the future event list and energy consumption. This thesis investigates an energy aware approach applicable for systems that are restricted to energy constrained environments.Ph.D