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The project provides a systematic framework in providing such services. First, user behavioral profiles are constructed based on traces collected from two large wireless networks, and their spatio-temporal stability is analyzed. The implicit relationship discovered between mobile users could be utilized to provide a service for message delivery and discovery in various network environments. As an example application, we provide a detailed design of such a service in challenged opportunistic network architecture, named CSI. We provide a fully distributed solution using behavioral profile space gradients and small world structures recognition. This can improve the system performance and make the system more efficient by taking relevant samples. The objective of proposed system behavior-oriented services as a new paradigm of communication in mobile human networks. Our study is motivated by the tight usernetwork coupling in future mobile societies. In such a paradigm, messages are sent to inferred behavioral profiles, instead of explicit IDs.

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Sowbaranika.S, Shobana.S, Vignesh.S, & Karthik.S. (2015). HUMAN WORKING DAY MODEL IN DELAY TOLERANT NETWORKING VIA QUEUING PETRI NETS . International Journal of Intellectual Advancements and Research in Engineering Computations, 3(2), 55–58. Retrieved from