Name
Abstract | ||
|---|---|---|
Location information is always useful in wireless sensor networks (WSN). The precision of localization is crucial for some specific applications. Methods for node localization in WSN usually rely on the measurements of received strength or time-of-flight of an incoming signal. The quality of these measurements always has great influence on the precision of localization. In this paper, special emphasis is put on the error analysis for distance measurement between WSN nodes. Error is broken down into three parts, namely, systematic error, random error, and gross error. Gross error is highlighted and methods for removing gross error are discussed. Dixon test is recommended for gross error removal in data preprocessing phase before localization computation in WSN. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICDCS.Workshops.2008.44 | ICDCS Workshops |
Keywords | Field | DocType |
localization,wireless sensor network,node localization,error analysis,rssi,dixon test,gross erroris,systematic error,random error,gross error removal,localization precision,gross error,gross error removalin data,wireless sensor networks,localization computation,location information,noise,computational modeling,time of flight,measurement uncertainty,measurement errors,data preprocessing,acoustic noise,algorithm design and analysis,distributed computing | Noise,Algorithm design,Computer science,Data pre-processing,Measurement uncertainty,Algorithm,Dixon's Q test,Statistics,Wireless sensor network,Observational error,Computation | Conference |
ISSN | ISBN | Citations |
1545-0678 E-ISBN : 978-0-7695-3173-1 | 978-0-7695-3173-1 | 2 |
PageRank | References | Authors |
0.53 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chongming Zhang | 1 | 4 | 0.97 |
| Xi Zhou | 2 | 64 | 5.40 |
| Chuanshan Gao | 3 | 180 | 17.61 |
| Chunmei Wang | 4 | 2 | 1.54 |