Abstract:
In developing countries, smartphones and high
bandwidth connections are not yet within the reach of
majority of the people. To share multimedia content among
themselves, people rely on manual local sharing mechanisms
i.e. either using physical exchange of memory card or through
short-range wireless technologies, such as Bluetooth. However,
this model of content sharing is not scalable in terms of
number of users and shared items.
In this paper, we propose MobiShare which is a mobilecloud
based system designed to support searching and sharing
of content among pair of mobile peers. The cloud does
aggregation of shared content in user’s social network and
enables scalable content search with real-time computation of
expected encounter time between content source and requester.
For finding expected encounter time, we build algorithms for
(1) Finding mobility profiles of the users using heterogeneous
location data services such as Cell ID and WiFi; and (2)
Predicting places that will be visited in the future, together with
corresponding time spent, using those profiles. We deployed
MobiShare with 16 volunteers and collected data for 4 weeks.
We present evaluation results of the system based on the
collected data.
