Name
Abstract | ||
|---|---|---|
Wireless Sensor Networks are presented as devices for signal sampling and reconstruction. Within this framework, the qualitative and quantitative influence of (i) signal granularity, (ii) spatial distribution of sensors, (iii) sensors clustering, and (iv) signal reconstruction procedure are assessed. This is done by defining an error metric and performing a Monte Carlo experiment. It is shown that all these factors have significant impact on the quality of the reconstructed signal. The extent of such impact is quantitatively assessed. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.3390/s100302150 | SENSORS |
Keywords | Field | DocType |
reconstruction,sampling,statistical modeling,simulation,wireless sensor networks | Monte Carlo method,Data-driven,Computer science,Electronic engineering,Sampling (statistics),Statistical model,Granularity,Cluster analysis,Wireless sensor network,Signal reconstruction | Journal |
Volume | Issue | ISSN |
10 | 3 | 1424-8220 |
Citations | PageRank | References |
7 | 0.55 | 22 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alejandro C. Frery | 1 | 368 | 38.29 |
| Heitor Ramos | 2 | 196 | 18.09 |
| José Alencar-Neto | 3 | 7 | 0.55 |
| Eduardo Freire Nakamura | 4 | 320 | 31.97 |
| Antonio Loureiro | 5 | 2406 | 197.77 |