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Quality distributed community formation for data delivery in pocket switched networks

In this paper we look at ways of detecting groups of strongly related devices called communities which are present in mobile Pocket Switched Networks (PSNs). We use existing methods to detect communities which leverage repeated human movement patterns and "familiar strangers" within a number of real PSNs extracted from the CRAWDAD repository. By using different community detection techniques we attempt to show that there is a correlation between community size and compactness and inter-community membership of devices with increased data delivery. Finally our findings are implemented in a prototype protocol called Quality which creates larger communities with increased intercommunity membership distributively.