Name
Abstract | ||
|---|---|---|
A new centroid formula for range-free sensor node location estimation using the proximity anchor positions is proposed. A detailed statistical analysis of the estimator is presented in one-dimension, taking into account the boundary conditions. The estimator is optimal in the minimum-mean square error sense for the one-dimensional case and outperforms the averaging centroid formula for N > 2, where N is the number of proximity anchors. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICIF.2006.301734 | 2006 9TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4 |
Keywords | Field | DocType |
wireless sensor networks, range-free node localisation, centroid formula | Computer science,Computer network,Artificial intelligence,Global Positioning System,Sensor node,Topology,Computer vision,Broadcasting,Boundary value problem,Minimum mean square error,Wireless sensor network,Centroid,Estimator | Conference |
Citations | PageRank | References |
1 | 0.35 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Branko Ristic | 1 | 711 | 62.37 |
| Mark R. Morelande | 2 | 195 | 24.96 |
| Alfonso Farina | 3 | 747 | 85.66 |
| Stefan Dulman | 4 | 252 | 21.48 |