Localization and Rescue Planning of Indoor Victims in a Disaster

In this paper, we discuss rescue planning for disaster victims trapped in a partially collapsed multistory building. Before the rescue teams enter the building, the number and approximate locations of victims should be determined leading to efficient planning of the search and rescue paths for saving more lives. We develop the MLOCATE algorithm based on the assumption that several victims have cell phones and the paths are partially intact. The MLOCATE algorithm performs localization and clustering of victims. Next, the rescue priorities of the clusters and floors are computed. Finally, prioritized paths are presented in visual format, avoiding obstructions introduced due to debris or fire. The results of simulation run of the algorithm are discussed showing quick and efficient rescue path planning.