MoMo: a group mobility model for future generation mobile wireless networks

Existing group mobility models were not designed to meet the requirements typical of current and future short distance wireless networks scenarios, that need, in particular, accurate, up-to-date information on the position of each node in the network, combined with a simple and flexible approach to mobility modeling. A new model for group mobility in wireless networks, named MoMo, is proposed in this paper, based on the combination of a memory-based individual mobility model with a flexible group behavior model. MoMo is capable of accurately describing all mobility scenarios, from individual mobility, in which nodes move independently one from the other, to tight group mobility, where mobility patterns of different nodes are strictly correlated. A new set of intrinsic properties of a mobility model is proposed and adopted in the analysis and comparison of MoMo with existing models. Results show that MoMo leads to accurate, robust and flexible modeling of mobility of groups of nodes, making it suitable for the wide range of network scenarios expected to characterize the deployment of 5G networks.