A novel human mobility model for MANETs based on real data

Performance evaluation of mobile networks needs accurate simulation set up including realistic characteristics. The most important issue in mobile networks' simulation is the mobility of the nodes. Since mobile nodes usually are carried by humans, thus, nodes mobility should be modelized as human movement. To the best of our knowledge, none of the existing mobility models have the ability to modelize all the human movement characteristics. In this paper, a new mobility model has been proposed based on the human mobility data collected for more than 6000 hours. The new model captures human mobility properties by introducing hotspot zones, using a graph of hotspot zones as the input area map, dividing day time to some periods and modeling various speeds in different times and spaces. Moreover, it models some other important human mobility features that had been modeled in previous works. To evaluate the performance of the proposed model, it is compared with real collected data.