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Recent works explore social characteristics of nodes to improve messagedelivery rate in Delay Tolerant Networks (DTN). This work uses machine learningtechniques to create node groups organized by common interests. Messages aresent to target groups, and from there to the final destination. Simulationresults using The ONE simulator show that the larger the group size the higherthe message delivery rate, that reaches 100% in some cases. The paper alsopresents results related to the groups of interest such as message deliveryrat, delivery delay and an average number of hops to deliver messages. Theoverall results indicate that group-based routing is a promising researchfiled.

Disseminacao de mensagens DTN com base em grupos de interesses