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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
Full text available as:
Official URL: http://dx.doi.org/10.1007/978-3-540-78731-0_22  AbstractWireless 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.
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