Mobile ad hoc networks (MANET) are constitued by mobile devices equiped with short range radio. Communication is possible between devices within each other's radio range. The mobility leads to frequent topology changes in such networks, which harden typical networking tasks, such as routing or information diffusion. Hyper-Gossiping is an information diffusion protocol that uses mobility to distribute information even in partitioned MANET.

In analogy to spreading of infectious diseases, where contact patterns strongly impact the characteristics of spreading, we investigated contacts between mobile devices and defined new mobility metrics, such as contact rate, duration and frequency. Using these mobility metrics, nodes are now able to better understand underlying mobility patterns and to discover new partitions.

We used a contact-based metric, i.e. contact-rate, to improve repetitive behavior of Hyper-Gossiping in highly partitioned networks. Simulation results show that we could reduce up to 16% of needed rebroadcasts to disseminate an information.