Energy consumption of Data Driven traffic simulations

Dynamic Data-Driven Application Systems (DDDAS) implemented on mobile devices must conserve energy to maximize battery life. For example, applications for online traffic prediction require use of real-time data streams that drive distributed simulations. These systems involve embedding computations in mobile computing platforms that establish the state of the system being monitored and collectively predict future system states. Understanding where energy consumption takes place in such systems is vital to optimize its use. Results of an empirical investigation are described that measure energy consumption of aspects such as data streaming, data aggregation, and traffic simulation computations using different modeling approaches to assess their contribution to overall energy consumption.