A mobility model for MANET in large Scale disaster scenarios

Modeling mobility in a large scale unorganized disasters using existing mobility models is a tedious and cumbersome task because they are designed for small scale and well organized disasters. In large scale unexpected disasters obstacles play a key role in determining the path of the nodes. Moreover, complete path from source to destination cannot be determined at the initial step. It is to be determined dynamically step by step instead. We use ant colony optimization to select the path dynamically. We propose a mobility model which facilitates simple and realistic placement of obstacles. The disaster area is divided into small cells to model the obstacles in a realistic way. As there are no mobility traces available for the disaster scenarios, we generate synthetic traces and compare them with the existing mobility models for disaster scenarios. We observed significant differences in the mobility parameters. This can be due to the dynamic path selection in our model.