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Erschienen in:
2011 | OriginalPaper | Buchkapitel
From Kansei to KanseiGenie: Architecture of Federated, Programmable Wireless Sensor Fabrics
verfasst von : Mukundan Sridharan, Wenjie Zeng, William Leal, Xi Ju, Rajiv Ramnath, Hongwei Zhang, Anish Arora
Erschienen in: Testbeds and Research Infrastructures. Development of Networks and Communities
Verlag: Springer Berlin Heidelberg
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This paper deals with challenges in federating wireless sensing fabrics. Federations of this sort are currently being developed in next generation global end-to-end experimentation infrastructures, such as GENI, to support rapid prototyping and hi-fidelity validation of protocols and applications. On one hand, federation should support access to diverse (and potentially provider-specific) wireless sensor resources and, on the other, it should enable users to uniformly task these resources. Instead of more simply basing federation upon a standard description of resources, we propose an architecture where the ontology of resource description can vary across providers, and a mapping of user needs to resources is performed to achieve uniform tasking. We illustrate one realization of this architecture, in terms of our refactoring the Kansei testbed to become the KanseiGenie federated fabric manager, which has full support for programmability, sliceability and federated experimentation over heterogeneous sensing fabrics.