Energy consumption of HLA data distribution management approaches

Energy and power aware data distribution methods are essential for using these approaches in energy constrained devices and environments. Data Distribution Management (DDM) is a set of services defined in the High Level Architecture (HLA) that aims to efficiently propagate distributed simulation state information. This paper describes an empirical study of the energy consumption of computation and communication components of region based and grid based DDM approaches in mobile devices. Experimental data illustrate that region based approaches tend to consume more energy than grid based approaches for computations, but less for communications. These results also show that the choice of grid cell size and grid cell constraints on publication regions can play an important role in the energy efficiency of grid based approaches.