Rapidly growing popularity of mobile devices such
as smartphones and digital tablets has changed the way people
obtain information. Cellular and wireless local area networks
provide almost ubiquitous connectivity. However, many scenarios
threaten to leave us disconnected for extended periods of time.
We study how peer-to-peer communication with mobile devices
can be used without network infrastructure. With epidemic
models for opportunistic content spreading we investigate the
performance of such systems and compare them to simulated
results. Real life mobility traces are used as a base to simulate
how information is spread between the devices and two different
types of spreading were studied in more detail. In particular, we
investigate how fast a percentage of the total number of devices
can receive the information. The results are displayed for the best
performing device and indicate that these models does not necessarily
have to agree with what actually happens. Nevertheless, we
argue that the models provide a good mathematical framework
for analyzing systems of this sort and conclude that these models
can be extended to incorporate more general assumptions.
2013. , 7 p.