Most of the routing protocols for mobile disruption-tolerant networks (DTNs), are designed to route data from a single source to a single destination. Many real-world applications, however, need to transfer data to a group of recipients rather than individuals. Proposed architectures for multicast communication in mobile DTNs rely on a global knowledge of multicast group memberships that makes them infeasible for infrastructure-less networks. Our interest-aware data distribution protocol distributes data among a community of mobile users in DTNs based on their interests. Our interest-aware algorithm automatically learns users' interests from the history of their cached data and provides them with their preferred data content. We implemented this protocol in the ONE simulator and evaluated its performance using reality-mining mobile traces. Our simulations show that our protocol delivers 30% more relevant data to mobile users' interests than epidemic routing. Furthermore, this superior performance is achieved with 35% lower distribution of irrelevant data content among mobile users.
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