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11121 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. (2007) Tandem: A Context-Aware Method for Spontaneous Clustering of Dynamic Wireless Sensor Nodes. Technical Report TR-CTIT-07-66, Centre for Telematics and Information Technology University of Twente, Enschede. ISSN 1381-3625

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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 results with simulations, by making use of three sets of experimental data reported from field tests. The results show the tradeoff between the time history necessary to achieve a certain stability and the responsiveness of the clustering algorithm.

Item Type:Internal Report (Technical Report)
Research Group:EWI-DIES: Distributed and Embedded Security, EWI-CAES: Computer Architecture for Embedded Systems
Research Program:CTIT-WiSe: Wireless and Sensor Systems
Research Project:e-SENSE: Capturing Ambient Intelligence for Mobile Communications through Wireless Sensor Networks, Smart Surroundings
ID Code:11121
Deposited On:21 September 2007
More Information:statisticsmetis

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