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Cognitive Sensor Networks: Towards Self-Adapting Ambient Intelligence for Pervasive Healthcare

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Baumgarten, Matthias and Mulvenna, Maurice (2011) Cognitive Sensor Networks: Towards Self-Adapting Ambient Intelligence for Pervasive Healthcare. In: Workshop on Cognitive Sensor Networks for Pervasive Health (CoSNPH-2011) at Pervasive Health 2011, Dublin, Ireland. IEEE. 4 pp. [Conference contribution]

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The importance as well as the availability of sensor-based technology and environments is constantly increasing. This is not only based on the latest advances in sensor technology but also due to the incorporation of more powerful communication and processing mechanisms into the sensor nodes which may, eventually, allow for the emergence of cognitive intelligence from within such networks themselves. Such platforms are collectively referred to as wireless sensor networks, which provide not only the capabilities to sense and to process information but also to act upon them, which allows to actively influence the underlying context. Consequently, future intelligent infrastructures will be largely based on sensor network technology that will provide the layers for contextual information gathering, knowledge processing as well as for adaptation and optimization mechanisms. This will pave the way for new types of application and services in the area of pervasive computing in healthcare and beyond that are fully autonomous in all aspects of their operations as well as their set-up and maintenance. This paper sketches the potential and challenges of future sensor networks that provide the foundations for self-adapting ambient intelligence and briefly discusses some of the requirements thereof.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
ID Code:22320
Deposited By:Professor Maurice Mulvenna
Deposited On:23 May 2012 09:34
Last Modified:23 May 2012 09:34

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