Name
Abstract | ||
|---|---|---|
A sensor selection scheme for source extraction in heterogeneous wireless sensor networks is proposed. The proposed scheme selects the sensors corresponding to the reconstructed mixtures with the largest signal-to-noise-ratios to transmit their data to a fusion center. It exploits the heterogeneity of the sensor observations and reduces the amount of transmissions. The results demonstrate that the proposed scheme outperforms the full utilization scheme and the random selection scheme. Copyright © 2009 John Wiley & Sons, Ltd. A sensor selection scheme for source extraction in heterogeneous wireless sensor networks is proposed. The proposed scheme selects the sensors corresponding to the reconstructed mixtures with the largest signal-to-noise-ratios to transmit their data to a fusion center. The results demonstrate that the proposed scheme outperforms the full utilization scheme and the random selection scheme. Copyright © 2009 John Wiley & Sons, Ltd. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1002/dac.v23:4 | International Journal of Communication Systems |
Keywords | Field | DocType |
wireless sensor networks,blind source separation,sensor selection,performance evaluation | Key distribution in wireless sensor networks,Computer science,Real-time computing,Exploit,Fusion center,Sampling (statistics),Sensor selection,Wireless sensor network,Blind signal separation | Journal |
Volume | Issue | Citations |
23 | 4 | 4 |
PageRank | References | Authors |
0.46 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongbin Chen | 1 | 75 | 6.30 |
| Jiuchao Feng | 2 | 133 | 17.84 |
| Chi K. Tse | 3 | 1153 | 155.94 |