Understanding user``s mobility is critical to simulate mobile devices within wireless networks because it can help determine network topology concerning network performance.
However, the current mobility model does not fully reflect the actual military unit`s movement. This study is accomplished to provide the foundation for mobility model research by applying the mobility characteristics acquired by analyzing trace files to design the model.
Based on the military training trace data of KCTC (Korea Combat Training Center) in Hongcheon, Korea, we investigated the structural, spatial, and temporal characteristics of the real trace data. After investigation, we modeled the movement patterns of units in military operations.
Hierarchical Military Mobility Model (HMMM) provided ways to predict the units` locations. With this methodology, we located units within the same wireless networks classified by time.
Simulation results and evaluation showed that HMMM generated very similar mobility patterns with real trace of military units. HMMM can be utilized to analyze the units`` behavior in military operations by using large-scale artificial data.
Therefore, HMMM is fundamental work for future research.