Name
Abstract | ||
|---|---|---|
Finding locations of the sensor nodes in Wireless Sensor Network has been an active research area in recent years. One important category of approaches uses distance measurements between anchors and sensors to localize the unknown node. However, most approaches assume that the anchor positions are perfectly known, while in practice the anchor positions may not be accurate due to estimation errors as well as observation errors. In this paper, we study the localization of wireless sensor node with erroneous anchors, and propose an EM estimator which iteratively refines the anchor positions and estimates the sensor location. Simulation results shows that the EM estimator converges in a few iterations and outperforms the existing robust least squares algorithm. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/GLOCOM.2010.5683734 | GLOBECOM |
Keywords | Field | DocType |
distance measurement,expectation-maximisation algorithm,erroneous anchors,anchor positions,estimation errors,wireless sensor network,least squares algorithm,estimation theory,observation errors,least squares approximations,em estimator,sensor location estimation,wireless sensor nodes localization,wireless sensor networks,iterations,em algorithm,distance measurements,measurement errors,global positioning system,least square,simulation,uncertainty,covariance matrix | Mathematical optimization,Wireless,Expectation–maximization algorithm,Computer science,Algorithm,Real-time computing,Global Positioning System,Estimation theory,Covariance matrix,Wireless sensor network,Observational error,Estimator | Conference |
ISSN | ISBN | Citations |
1930-529X E-ISBN : 978-1-4244-5637-6 | 978-1-4244-5637-6 | 5 |
PageRank | References | Authors |
0.52 | 8 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mei Leng | 1 | 223 | 13.44 |
| Yik-Chung Wu | 2 | 1335 | 94.03 |