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Global climate change can be mitigated with innovative solutions in the ambient intelligence domain that utilize distributed and heterogeneous sensor networks for high resolution sensing of resource utilization (e.g. energy, water, etc.) via intelligent coordination among sensor nodes. We propose the EcoSense framework as a holistic solution that enables dynamic control and reconfiguration of the...
The emerging heterogeneity of data management, programming models and operating platforms in sensor nodes are making the seamless interoperation of devices a challenge. We consider this problem and leverage on the concepts of semantic web and service-oriented design to propose a model that adds a semantics and service-oriented layer to existing network models. This added layer hides the hardware as...
Based on our proposed semantics-based service-oriented model, we are building a large-scale sensor grid infrastructure that can seamlessly integrate heterogeneous sensor resources from different projects distributed across a wide geographical area. This model has several important features. First, it connects heterogeneous sensor resources via the Internet to automatically collect and aggregate sensor...
In this paper, we present the idea that large-scale ambient intelligence takes the vision of anytime-anywhere to anytime-anywhere-anything (A3). Based on this vision, we argue that a mix of computing, communication and interface technologies remains limited in providing seamless access to services if the data and services from various autonomously operating entities remain non-sharable. Thus, we propose...
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