Prediction and Voronoi graph construction with a dense network of simple sensors
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.
|Biometric Sensing and Authentication|
|IEEE Conference on Signal Processing and Communication Applications|
|Organisation||Signals and Images|
Salah, A.A, & Pauwels, E.J.E.M. (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.