On Improving the Precision of Localization with Gross Error Removal

Author

Zhang, Chongming ; Zhou, Xi ; Gao, Chuanshan ; Wang, Chunmei

Author_Institution

Dept. of Comput. Sci. & Eng., Fudan Univ., Shanghai

fYear

2008

fDate

17-20 June 2008

Firstpage

144

Lastpage

149

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.

Keywords

error analysis; wireless sensor networks; Dixon test; error analysis; gross error; gross error removal; localization precision; location information; node localization; random error; systematic error; wireless sensor networks; Acoustic measurements; Acoustic noise; Algorithm design and analysis; Data preprocessing; Distance measurement; Distributed computing; Error analysis; Measurement errors; Ultrasonic variables measurement; Wireless sensor networks; RSSI; error analysis; gross error; localization; wireless sensor network;

fLanguage

English

Publisher

ieee

Conference_Titel

Distributed Computing Systems Workshops, 2008. ICDCS '08. 28th International Conference on

Conference_Location

Beijing

ISSN

1545-0678

Print_ISBN

978-0-7695-3173-1

Electronic_ISBN

1545-0678

Type

conf

DOI

10.1109/ICDCS.Workshops.2008.44

Filename

4577773