Disruptive, spontaneous, and opportunistic networking is likely to appear at the edge of the "Internet of the Future" (IoF). Mobility, that is moving in physical space and time, is a key challenge, but also an opportunity for exploitation by wireless networking. Although mobility is widely accepted as a driving force for new protocols and protocol adaptations, it is not fully clear at which level and where to include information about mobility in networks and how to utilize this movement information to improve connectivity and the quality of services.
Within this scope, the project focuses on modeling realistic mobility behavior on micro/meso/macro scale for opportunistic networks. It extends basic mobility models by leveraging social interaction models, e.g., of pedestrian groups, as well as information and data flow models for information sensed and generated by mobile entities, such as vehicles in city traffic. Finally, the project will provide answers to the recent discussions in the field of opportunistic and ad-hoc networking on the relevance and feasibility of opportunistic networks. We contribute to these discussions by proposing use cases for opportunistic network scenarios with high potential in terms of applicability and performance benefits.