Estimating the Impact of Mobility Models´ Parameters on Mobility Metrics in MANETs

Aiming to analyze and classify the different types of existing mobility models, various mobility metrics have been proposed. However, little is known about the impact caused by changes in input parameters of a particular model over the mobility metrics. In this paper, several major mobility models and metrics are evaluated using a new methodology. Data collected were analyzed statistically using correlation as the statistical technique to explore the relationship between parameters and metrics. The results revealed that, depending on the configuration of the parameters of the models, it is possible that the metrics are not able to differentiate the models. Furthermore, the results also revealed that identical input parameters among the models caused different impacts on the mobility metrics. In particular, the minimum speed, in general, affects the metrics as much as the maximum speed does.