Name
Title | ||
|---|---|---|
Signal-to-noise ratio evaluation for embedded wireless sensor nodes: A novel methodology |
Abstract | ||
|---|---|---|
This article proposes a general methodology for evaluating the signal-to-noise ratio (SNR) of data acquisition systems in wireless sensors nodes. This methodology enables designers to evaluate the SNR regardless of non-stationary sensor signals behaviour (with unknown signal shapes) or voltage supply decrease due to battery depletion. The proposed methodology provides criteria to modify signal features and data acquisition system parameters for achieving SNR values that assure numerical stability of the algorithms implemented into the node. Validation measurements and an application example are presented. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICECS.2009.5410820 | Yasmine Hammamet |
Keywords | Field | DocType |
data acquisition,numerical stability,signal processing,wireless sensor networks,SNR values,battery depletion,data acquisition systems,digital signal processing algorithms,embedded wireless sensor nodes,numerical stability,signal-to-noise ratio evaluation | Sensor node,Signal processing,Key distribution in wireless sensor networks,Wireless,Computer science,Data acquisition,Signal-to-noise ratio,Electronic engineering,Mobile wireless sensor network,Wireless sensor network | Conference |
ISBN | Citations | PageRank |
978-1-4244-5091-6 | 0 | 0.34 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Leonardo Barboni | 1 | 0 | 0.34 |
| Maurizio Valle | 2 | 18 | 3.73 |