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12250 Tandem: A Context-Aware Method for Spontaneous Clustering of Dynamic Wireless Sensor Nodes
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Marin-Perianu, R.S. and Lombriser, C. and Havinga, P.J.M. and Scholten, J. and Tröster, G. (2008) Tandem: A Context-Aware Method for Spontaneous Clustering of Dynamic Wireless Sensor Nodes. In: Proceedings of the First International Conference on Internet of Things (IOT2008), March 2008, Zürich, Switzerland. pp. 341-359. Lecture Notes in Computer Science (4952). Springer Verlag. ISBN 978-3-540-78730-3

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Official URL: http://dx.doi.org/10.1007/978-3-540-78731-0_22

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Abstract

Wireless sensor nodes attached to everyday objects and worn by people are able to collaborate and actively assist users in their activities. We propose a method through which wireless sensor nodes organize spontaneously into clusters based on a common context. Provided that the confidence of sharing a common context varies in time, the algorithm takes into account a window-based history of believes. We approximate the behaviour of the algorithm using a Markov chain model and we analyse theoretically the cluster stability. We compare the theoretical approximation with simulations, by making use of experimental results reported from field tests. We show the tradeoff between the time history necessary to achieve a certain stability and the responsiveness of the clustering algorithm.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-PS: Pervasive Systems
Research Program:CTIT-WiSe: Wireless and Sensor Systems
Research Project:Featherlight Distributed Systems: A platform for the next generation of ambient systems, SENSEI: Integrating the PhySical with the Digital World of the Network of the Future
ID Code:12250
Status:Published
Deposited On:14 April 2008
Refereed:Yes
International:Yes
More Information:statisticsmetis

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