PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Bacciu D., Gallicchio C., Lenzi A., Chessa S., Micheli A., Pelagatti S., Vairo C. Distributed neural computation over WSN in ambient intelligence. In: ISAmI 2013 - Ambient Intelligence - Software and Applications. 4th International Symposium on Ambient Intelligence (Salamanca, 22-24 May 2013). Proceedings, pp. 147 - 154. Ad van Berlo, Kasper Hallenborg, Juan M. Corchado Rodríguez, Dante I. Tapia, Paulo Novais (eds.). (Advances in Intelligent Systems and Computing, vol. 219). Springer, 2013.
 
 
Abstract
(English)
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.
URL: http://link.springer.com/chapter/10.1007%2F978-3-319-00566-9_19
DOI: 10.1007/978-3-319-00566-9_19
Subject Wireless Sensor Networks
Neural Computation
Ambient Intelligence
C.1.3 PROCESSOR ARCHITECTURES. Other Architecture Styles


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