2008
Prediction and Voronoi graph construction with a dense network of simple sensors
Publication
Publication
Presented at the
IEEE Conference on Signal Processing and Communication Applications, Didim
It is possible to monitor an environment with a dense network of cheap and simple sensors instead of a few expensive and complex sensors. In this paper, we show how to use the T-pattern algorithm to make sense of a large number of simple sensor readings. We propose two modifications to the basic T-pattern algorithm to use it in this context. In particular, we predict sensor activations given present activity, and we derive a topological layout of the environment automatically.
Additional Metadata | |
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IEEE Explore | |
Biometric Sensing and Authentication | |
IEEE Conference on Signal Processing and Communication Applications | |
Organisation | Signals and Images |
Salah, A. A., & Pauwels, E. (2008). Prediction and Voronoi graph construction with a dense network of simple sensors. In Proc of IEEE 16th Signal Processing and Communication Applications Conference . IEEE Explore. |