Document - Distributed neural computation over WSN in ambient intelligence

2013

Conference article Restricted

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 C.1.3 PROCESSOR ARC 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: ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING, pp. 147-154. Salamanca, 22-24 May 2013

Publisher: Springer

Metrics

Back to previous page

Cite as

BibTeX entry

@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},
	doi = {10.1007/978-3-319-00566-9_19},
	booktitle = {ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING, pp. 147-154. Salamanca, 22-24 May 2013},
	year = {2013}
}