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Title:
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DYNAMIC ADAPTATION IN WIRELESS SENSOR NETWORKS USING NEURONAL NETWORKS |
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Author(s):
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Eduardo Cañete , Jaime Chen , Luis Llopis , Rafael Marcos Luque , Bartolomé Rubio |
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ISBN:
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978-972-8924-97-3 |
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Editors:
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Hans Weghorn and Pedro Isaías |
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Year:
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2009 |
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Edition:
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V II, 2 |
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Keywords:
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WSANs, dynamic adaptation, neural networks, reprogramming. |
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Type:
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Short Paper |
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First Page:
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3 |
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Last Page:
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7 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In our everyday life, Wireless Sensor and Actor Networks (WSAN) are gaining in importance, since they are increasingly
present everywhere (industry, farmlands, buildings, etc). This is due to the great diversity of problems that can be easily
solved by using them. However, there are still many important areas in which the WSANs can be improved. One of these
is to give the sensor network the capability of adapting its behavior to new environments in a dynamic way. Currently,
this can only be done by means of reprogramming. In this work, we propose a design based on neuronal networks,
specifically the multi-layer perceptron, to change the behavior of the WSAN application without having to use traditional
reprogramming techniques. |
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