Managing Topological Prioritization in Ray-Tracing Based Progressive Propagation-Prediction Modeling

In a progressive propagation prediction model, significant time is saved by interrupting the process when specific application related constraints have been met. Such limitations have to do with the statistics of intermediate results as well as their spatial arrangement in the area of interest. We propose a time-efficient method to control the topological distribution of intermediate predictions. The proposed criterion allows different priorities to be set in different regions of the study area. In addition, we put forward two progressive strategies capable of adjusting the ray-tracing engine to the desired prioritization. The advantages of the proposed strategies compared with existing approaches are well demonstrated