Abstract
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.
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References
GENI draft., http://groups.geni.net/geni/attachment/wiki/GEC2/TF_RSpec.pdf
GENI: Global environment for network innovation, http://www.geni.net
Kansei wireless sensor testbed, http://kansei.cse.ohio-state.edu
NetEye wireless sensor testbed, http://neteye.cs.wayne.edu
Network description language, http://www.science.uva.nl/research/air/projects/ndl/
Open resource control architecture, https://geni-orca.renci.org/
Orbit network testbed, http://www.orbit-lab.org/
PeopleNet mobility testbed, http://peoplenet.cse.ohio-state.edu
Protege: Ontology editor-knowledge framework, http://protege.stanford.edu/
Shibboleth: Software package for identity and authorization management, http://shibboleth.internet2.edu/
Johnson, H.L., Cohen, K.B., Hunter, L.: A fault model for ontology mapping, alignment, and linking systems. In: Pacific Symposium on Biocomputing (2007)
Noy, N.F., Musen, M.A.: Prompt: Algorithm and tool for automated ontology merging and alignment. In: Proc. of the 7th National Conference on Artificial Intelligence, pp. 450–455. AAAI Press/The MIT Press (2000)
Roscoe, T.: Languages not Formats: Tackling network heterogeneity head-on. In: Proc. of 3rd the Workshop on Future Directions in Distributed Computing (2007)
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© 2011 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Sridharan, M. et al. (2011). From Kansei to KanseiGenie: Architecture of Federated, Programmable Wireless Sensor Fabrics. In: Magedanz, T., Gavras, A., Thanh, N.H., Chase, J.S. (eds) Testbeds and Research Infrastructures. Development of Networks and Communities. TridentCom 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 46. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17851-1_12
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DOI: https://doi.org/10.1007/978-3-642-17851-1_12
Publisher Name: Springer, Berlin, Heidelberg
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