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As we gain access to increasing volumes of context data, we face the problem of moving this information from the sensors that produce it to the applications that consume it. Our approach to this problem uses gossiping, a probabilistic routing protocol, to disseminate context information throughout the environment. We present on-going work on evaluating the performance of different gossiping protocols...
Many modern network applications, including sensor networks and MANETs, have dynamic topologies that reflect processes occurring in the outside world. These dynamic processes are a challenge to traditional information dissemination techniques, as the appropriate strategy changes according to the changes in topology. We show how network dynamics can be exploited to design a self-organising data dissemination...
The recent adoption of ubiquitous computing technologies has enabled capturing large amounts of human behavioral data. The digital footprints computed from these datasets provide information for the study of social and human dynamics, including social networks and mobility patterns, key elements for the effective modeling of virus spreading. Traditional epidemiologic models do not consider individual...
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