A Campus Based Mobility Model for Opportunistic Network

Mobility model in Opportunistic Network is one of the important technologies. The simple mobility models, such as Random Waypoint (RWP) and Random Walk (RW) are unable to capture the normal human behavior in daily life. To capture the real movement of teachers and students in campus, we propose the mobility model based on the daily life of campus, which mainly classify the nodes into three sorts: nodes which go back to the dormitory for sleeping at night, nodes which have classes at the daytime and nodes which have night activities. We simulate and analysis the model, using the contact duration and inter-contact times of nodes as the index of its functioning evaluation, and compare with the real datasets and RWP, it shows that our model is closer to the real datasets and follows the Power-law distribution, possesses the social feature.