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Marin-Perianu, M. and Marin-Perianu, R.S. and Havinga, P.J.M. and Scholten, J. (2007) Online Movement Correlation of Wireless Sensor Nodes. In: Advances in Pervasive Computing - Adjunct Proceedings of Pervasive 2007, 13-16 May 2007, Toronto, Canada. pp. 79-82. Austrian Computer Society. ISBN 978-3-85403-219-9
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Sensor nodes can autonomously form ad-hoc groups based on their common context. We propose a solution for grouping sensor nodes attached on the same vehicles on wheels. The nodes periodically receive the movement data from their neighbours and calculate the correlation coefficients over a time history. A high correlation coefficient implies that the nodes are moving together. We demonstrate the algorithm using two types of movement sensors: tilt switches and MEMS accelerometers. We place the nodes on two wirelessly controlled toy cars, and we observe in real-time the group membership via the LED colours of the nodes. In addition, a graphical user interface running on the base station shows the movement signals over a recent time history, the latest sampled data, the correlation between each two nodes and the group membership.
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