Mobile Crowd Sensing (MCS) is a class of sensor networks that uses mobile devices for large scale sensing. These networks have some very specific characteristics because of human (smartphone owners) involvement in its operations. Hence, it is important to have a model that takes into account the unique characteristics and opportunities of human mobility. In this paper, the authors present a Mobility Model for the ns-3 platform that considers human activities in a specific scenario and a simulation example to validate their model.