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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.
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