Document - Distributed neural computation over WSN in ambient intelligence

2013

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Distributed neural computation over WSN in ambient intelligence

Bacciu D., Gallicchio C., Lenzi A., Chessa S., Micheli A., Pelagatti S., Vairo C.

Ambient Intelligence C.1.3 PROCESSOR ARCHITECTURES. Other Architecture Styles Neural Computation Wireless Sensor Networks

Ambient Intelligence (AmI) applications need information about the surrounding environment. This can be collected by means of Wireless Sensor Networks (WSN) that also analyze and build forecasts for applications. The RUBICON Learning Layer implements a distributed neural computation over WSN. In this system, measurements taken by sensors are combined by using neural computation to provide future forecasts based on previous measurements and on the past knowledge of the environment.

Source: Ambient Intelligence - Software and Applications. 4th International Symposium on Ambient Intelligence, pp. 147–154, Salamanca, 22-24 May 2013

Publisher: Springer, Berlin Heidelberg New York, DEU

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@inproceedings{oai:it.cnr:prodotti:278951,
	title = {Distributed neural computation over WSN in ambient intelligence},
	author = {Bacciu D. and Gallicchio C. and Lenzi A. and Chessa S. and Micheli A. and Pelagatti S. and Vairo C.},
	publisher = {Springer, Berlin Heidelberg New York, DEU},
	doi = {10.1007/978-3-319-00566-9_19},
	booktitle = {Ambient Intelligence - Software and Applications. 4th International Symposium on Ambient Intelligence, pp. 147–154, Salamanca, 22-24 May 2013},
	year = {2013}
}